Sat, 29 Aug 2026

Package minex updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-16

Title: Automatically Reduce Failing R Scripts to a Minimal Reproducible Example
Description: Shrinks a failing R script to the smallest subset of statements that still triggers the same error, using the delta debugging algorithm of Zeller and Hildebrandt (2002) <doi:10.1109/32.988498>. Each candidate reduction is evaluated in a separate R process, so dependencies between statements and their side effects are respected. The result is a one-minimal example, in which removing any remaining statement makes the error disappear; this is the form most useful for bug reports and for questions on community forums. When no statement can be removed, because the failure is nested inside a function body, reduction continues within the surviving statements. A general delta debugging routine and a helper for reducing data frames to the rows that reproduce a failure are also provided.
Author: Sandeep Bodduluri [aut, cph] , Sumanth Chandrupatla [aut, cre, cph]
Maintainer: Sumanth Chandrupatla <srchandr@uab.edu>

Diff between minex versions 0.1.0 dated 2026-07-16 and 0.2.0 dated 2026-08-29

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More information about minex at CRAN
Permanent link

Package ClustAssess updated to version 1.2.0 with previous version 1.1.0 dated 2025-05-27

Title: Tools for Assessing Clustering
Description: A set of tools for evaluating clustering robustness using proportion of ambiguously clustered pairs (Senbabaoglu et al. (2014) <doi:10.1038/srep06207>), as well as similarity across methods and method stability using element-centric clustering comparison (Gates et al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package enables stability-based parameter assessment for graph-based clustering pipelines typical in single-cell data analysis.
Author: Andi Munteanu [aut, cre], Arash Shahsavari [aut], Rafael Kollyfas [ctb], Miguel Larraz Lopez de Novales [aut], Liviu Ciortuz [ctb], Irina Mohorianu [aut]
Maintainer: Andi Munteanu <am3019@cam.ac.uk>

Diff between ClustAssess versions 1.1.0 dated 2025-05-27 and 1.2.0 dated 2026-08-29

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More information about ClustAssess at CRAN
Permanent link

Package alcyon updated to version 0.9.0 with previous version 0.8.1 dated 2025-05-05

Title: Spatial Network Analysis
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Author: Petros Koutsolampros [cre, aut] , Fani Kostourou [ctb] , Kimon Krenz [ctb] , Alasdair Turner [ctb] , Tasos Varoudis [ctb] , Christian Sailer [ctb] , Eva Friedrich [ctb] , University College London [fnd, cph] , Spacelab UK [fnd]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>

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Package mellio updated to version 1.1.0 with previous version 1.0.2 dated 2026-07-08

Title: Polished, Editable Tables and Statistical Results
Description: Sends supported 'R' objects to the 'Mellio' web app and creates polished, editable statistical tables in 'R'. The 'mellio_open' interface handles common hypothesis tests, model objects, model comparisons, descriptive summaries, tabular data, plots, and image files. The 'melliotab' interface formats data frames, model summaries, correlation matrices, and side-by-side comparison tables with APA-style numeric formatting, confidence intervals, table notes, and optional significance markers. Manual table helpers can copy or save 'melliotab' output as 'HTML', 'LaTeX', or 'Markdown' when file-based handoff is needed. Payloads include package-version metadata to support reproducible reporting and software citation.
Author: Melih Sahin [aut, cre]
Maintainer: Melih Sahin <nicomelpro@pm.me>

Diff between mellio versions 1.0.2 dated 2026-07-08 and 1.1.0 dated 2026-08-29

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Package huggingfaceR updated to version 2.2.0 with previous version 2.1.0 dated 2026-06-30

Title: Access 'Hugging Face' Models and Datasets
Description: Access models and datasets hosted on the 'Hugging Face' Hub through its Inference Application Programming Interface (API). Run text classification, embeddings, chat, translation, image, audio, and other tasks from tidy 'R' workflows without installing 'Python' by default. Results are returned as data frames or simple 'R' objects so they can be composed with 'dplyr', 'tidyr', and related tooling. Helpers also support Hub search, file download, provider discovery, and guarded uploads for authenticated workflows.
Author: Alex Farach [aut, cre, cph], Sam Terfa [aut, cph], Jack Penzer [aut, cph]
Maintainer: Alex Farach <alexfarach@gmail.com>

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Package tidydann updated to version 1.0.2 with previous version 1.0.1 dated 2025-04-12

Title: Add the 'dann' Model and the 'sub_dann' Model to the 'tidymodels' Ecosystem
Description: Provides model specifications and tuning parameters that make the models in the 'dann' package available to the 'tidymodels' ecosystem. Models based on Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package sstn updated to version 1.0.2 with previous version 1.0.1 dated 2026-04-11

Title: Self-Similarity Test for Normality
Description: Implements the Self-Similarity Test for Normality (SSTN), a new statistical test designed to assess whether a given sample originates from a normal distribution. The method exploits the self-similarity property of the normal characteristic function by iteratively transforming and comparing standardized empirical characteristic functions. The null distribution of the test statistic is obtained via Monte Carlo simulation. Details of the methodology are described in Anarat and Schwender (2026), "A test for normality based on self-similarity", <doi:10.48550/arXiv.2604.03810>.
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Package fitdistrBayes updated to version 0.2.2 with previous version 0.2.0 dated 2026-08-06

Title: Objective Bayesian Distribution Fitting
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

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Package cox.rvph updated to version 0.2.0 with previous version 0.1.5 dated 2026-08-19

Title: Remedy for Violations of the Proportional Hazards Assumption in Cox Proportional Hazards Models
Description: Remedying proportional hazards assumption violations of a Cox proportional hazards model using stepwise changepoint and time-varying coefficient methods based on Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x> and Klein and Moeschberger (1997) <doi:10.1007/978-1-4757-2728-9>.
Author: Hamin Kim [aut, cre]
Maintainer: Hamin Kim <haaamin@korea.ac.kr>

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Package autoslider.core updated to version 0.3.3 with previous version 0.3.2 dated 2026-01-12

Title: Slide Automation for Tables, Listings and Figures
Description: The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
Author: Joe Zhu [cre, aut] , Heng Wang [aut], Yinqi Zhao [aut], Bo Ci [aut], Liming Li [aut], Laura Wang [ctb], Xiaoli Duan [aut], Stefan Pascal Thoma [aut], Thomas Neitmann [ctb], Miles Almond [aut], Mahdi About [ctb], Kai Lim [ctb], Nolan Steed [ctb], Daol [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package ipeval updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-06

Title: Interventional Prediction Evaluation
Description: Provides methods to evaluate predictive performance of models that estimate risks under hypothetical intervention scenarios (interventional/causal/counterfactual predictions) with observational data subject to treatment-outcome confounding. Inverse probability of treatment weighting (IPTW) is used to construct a pseudopopulation in which all individuals receive a specified intervention, enabling assessment of agreement between predicted risks under the intervention and observed outcomes in the pseudo-population corresponding to that intervention. Supports interventions with binary or categorical treatment levels, applied at a single time point. Performance measures supported are AUC (Area Under the receiving operating characteristic Curve), Brier score, observed-expected ratio, and calibration plots. Methods implemented in this package are based on work by Keogh and Van Geloven (2024) <DOI:10.1097/EDE.0000000000001713>.
Author: Jasper van Egeraat [aut, cre], Nan van Geloven [aut, cph], Ruth Keogh [aut, cph], Leiden University Medical Center [fnd]
Maintainer: Jasper van Egeraat <j.w.a.van_egeraat@lumc.nl>

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Package GetTDData updated to version 1.7.0 with previous version 1.6.0 dated 2026-06-04

Title: Get Data for Brazilian Bonds (Tesouro Direto)
Description: Downloads and aggregates data for Brazilian government issued bonds directly from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package yulab.utils updated to version 0.2.5 with previous version 0.2.4 dated 2026-02-02

Title: Supporting Functions for Packages Maintained by 'YuLab-SMU'
Description: Miscellaneous functions commonly used by 'YuLab-SMU'.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package tabxplor updated to version 2.0.0 with previous version 1.3.1 dated 2025-09-26

Title: User-Friendly Tables with Color Helpers for Data Exploration
Description: Make it easy to deal with multiple cross-tables in data exploration, by creating them, manipulating them, and adding color helpers to highlight deviations (differences from totals, comparisons between lines or columns, contributions to variance, odds ratios, etc.) and significance (confidence intervals, stars, etc.). Create the same kind of tables for regression models, with a framework to compare model effects with their crude/observed counterpart systematically. All functions render data frames which can be easily manipulated. All tables can be exported with formats and colors to 'Excel', html and markdown.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@protonmail.com>

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Title: Encrypt and Decrypt Strings, R Objects and Files
Description: A consistent interface to encrypt and decrypt strings, R objects and files using symmetric and asymmetric key encryption.
Author: Komala Sheshachala Srikanth [aut, cre]
Maintainer: Komala Sheshachala Srikanth <sri.teach@gmail.com>

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Package rstantools updated to version 2.7.1 with previous version 2.7.0 dated 2026-07-25

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut, cre], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Visruth Srimath Kandali [ctb], Trustees of Columbia University [cph]
Maintainer: Andrew Johnson <andrew.johnson@arjohnsonau.com>

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Package gsDesign updated to version 3.11.0 with previous version 3.10.1 dated 2026-07-19

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
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Package autograph updated to version 1.2.2 with previous version 1.2.1 dated 2026-08-26

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package uwot updated to version 0.2.5 with previous version 0.2.4 dated 2025-11-10

Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction
Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <doi:10.48550/arXiv.1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <doi:10.48550/arXiv.1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.
Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb], Wouter van der Bijl [ctb], Hugo Gruson [ctb]
Maintainer: James Melville <jlmelville@gmail.com>

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Package rasterDT updated to version 0.3.3 with previous version 0.3.2 dated 2022-12-15

Title: Fast Raster Summary and Manipulation
Description: Fast alternatives to several relatively slow 'raster' package functions. For large rasters, the functions run from 5 to approximately 100 times faster than the 'raster' package functions they replace. The 'fasterize' package, on which one function in this package depends, includes an implementation of the scan line algorithm attributed to Wylie et al. (1967) <doi:10.1145/1465611.1465619>.
Author: Joshua O'Brien [aut, cre]
Maintainer: Joshua O'Brien <joshmobrien@gmail.com>

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Package AzureAuth updated to version 1.3.5 with previous version 1.3.4 dated 2025-12-20

Title: Authentication Services for Azure Active Directory
Description: Provides Azure Active Directory (AAD) authentication functionality for R users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/en-us>. Use this package to obtain 'OAuth' 2.0 tokens for services including Azure Resource Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as well as multiple authentication methods, including device code and resource owner grant. Tokens are cached in a user-specific directory obtained using the 'rappdirs' package. The interface is based on the 'OAuth' framework in the 'httr' package, but customised and streamlined for Azure. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Tyler Littlefield [ctb], httr development team [ctb] , Scott Holden [ctb] , Chris Stone [ctb] , Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package tectonicr updated to version 0.4.9 with previous version 0.4.8 dated 2025-12-12

Title: Analyzing the Orientation of Maximum Horizontal Stress
Description: Models the direction of the maximum horizontal stress using relative plate motion parameters. Statistical algorithms to evaluate the modeling results compared with the observed data. Provides plots to visualize the results. Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2> and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package spsurvey updated to version 5.7.0 with previous version 5.6.1 dated 2026-05-04

Title: Spatial Sampling Design and Analysis
Description: A design-based approach to statistical inference, with a focus on spatial data. Spatially balanced samples are selected using the Generalized Random Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied to finite resources (point geometries) and infinite resources (linear / linestring and areal / polygon geometries) and flexibly accommodates a diverse set of sampling design features, including stratification, unequal inclusion probabilities, proportional (to size) inclusion probabilities, legacy (historical) sites, a minimum distance between sites, and two options for replacement sites (reverse hierarchical order and nearest neighbor). Data are analyzed using a wide range of analysis functions that perform categorical variable analysis, continuous variable analysis, attributable risk analysis, risk difference analysis, relative risk analysis, change analysis, and trend analysis. spsurvey can also be used to summarize objects, visualize objects, select samples that [...truncated...]
Author: Michael Dumelle [aut, cre] , Tom Kincaid [aut], Anthony R. Olsen [aut], Marc Weber [aut], Don Stevens [ctb], Denis White [ctb], Amanda M. Nahlik [ctb], Sarah Lehmann [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

Diff between spsurvey versions 5.6.1 dated 2026-05-04 and 5.7.0 dated 2026-08-29

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More information about spsurvey at CRAN
Permanent link

Package plotthis updated to version 0.14.0 with previous version 0.13.1 dated 2026-07-09

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

Diff between plotthis versions 0.13.1 dated 2026-07-09 and 0.14.0 dated 2026-08-29

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Permanent link

Package metalite.ae updated to version 0.1.4 with previous version 0.1.3 dated 2024-10-23

Title: Adverse Events Analysis Using 'metalite'
Description: Analyzes adverse events in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the adverse events analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Author: Yilong Zhang [aut], Yujie Zhao [aut, cre], Hiroaki Fukuda [aut], Benjamin Wang [aut], Nan Xiao [aut], Sarad Nepal [aut], Madhusudhan Ginnaram [aut], Venkatesh Burla [ctb], Ruchitbhai Patel [aut], Brian Lang [aut], Xuan Deng [aut], Bing Liu [aut], Jee [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package kDGLM updated to version 1.2.15 with previous version 1.2.14 dated 2026-04-10

Title: Bayesian Analysis of Dynamic Generalized Linear Models
Description: Provide routines for filtering and smoothing, forecasting, sampling and Bayesian analysis of Dynamic Generalized Linear Models using the methodology described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.
Author: Silvaneo dos Santos Jr. [aut, cre], Mariane Branco Alves [aut], Helio dos Santos Migon [aut]
Maintainer: Silvaneo dos Santos Jr. <silvaneojunior@utexas.edu>

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Package clinfun updated to version 1.1.6 with previous version 1.1.5 dated 2023-10-19

Title: Clinical Trial Design and Data Analysis Functions
Description: Utilities to make your clinical collaborations easier if not fun. It contains functions for designing studies such as Simon 2-stage and group sequential designs and for data analysis such as Jonckheere-Terpstra test and estimating survival quantiles.
Author: Venkatraman E. Seshan [aut, cre], Karissa Whiting [aut]
Maintainer: Venkatraman E. Seshan <seshanv@mskcc.org>

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Package bibliometrix updated to version 5.5.0 with previous version 5.4.1 dated 2026-06-16

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://www.lens.org/>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package tgstat updated to version 2.4.0 with previous version 2.3.32 dated 2026-03-20

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

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Package SLOPE updated to version 2.1.1 with previous version 2.1.0 dated 2026-03-28

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] , Jonas Wallin [aut] , Malgorzata Bogdan [aut] , Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jakub Kala [aut], Krystyna Grzesiak [aut], Mathurin Massias [aut], [...truncated...]
Maintainer: Johan Larsson <johan@jolars.co>

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Package GetFREData updated to version 1.1.0 with previous version 1.0.1 dated 2026-06-03

Title: Reading FRE Corporate Data of Public Traded Companies from B3
Description: Reads corporate data such as board composition and compensation for companies traded at B3, the Brazilian exchange <https://www.b3.com.br/>. All data is downloaded and imported from the ftp site <https://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.
Author: Marcelo Perlin [aut, cre], Guilherme Kirch [aut]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package UBStats updated to version 0.4.3 with previous version 0.3.0 dated 2025-08-27

Title: Basic Statistics
Description: Basic statistical analyses. The package provides comprehensive functions and datasets for teaching introductory statistics courses. It has been developed to be used in undergraduate statistics courses at Bocconi University (Milan, Italy), and constitutes the core software tool used throughout the textbook by Piccarreta, R., Tonini, D., & Trentini, F. (2026) "From Data to Decisions. An Introduction to Applied Statistics", BUP, ISBN:9788823824096.
Author: Raffaella Piccarreta [aut], Sergio Venturini [cre]
Maintainer: Sergio Venturini <sergio.venturini@unicatt.it>

Diff between UBStats versions 0.3.0 dated 2025-08-27 and 0.4.3 dated 2026-08-29

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Package SpaDES.core readmission to version 3.2.1 with previous version 3.1.2 dated 2026-05-23

Title: Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Description: Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies.
Author: Alex M Chubaty [aut] , Eliot J B McIntire [aut, cre] , Yong Luo [ctb], Steve Cumming [ctb], Ceres Barros [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

This is a re-admission after prior archival of version 3.1.2 dated 2026-05-23

Diff between SpaDES.core versions 3.1.2 dated 2026-05-23 and 3.2.1 dated 2026-08-29

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Package PNC updated to version 0.2.0 with previous version 0.1.0 dated 2025-11-07

Title: Evaluating Phylogeny as a Proxy for Ecological Similarity
Description: Provides a trait-based workflow for evaluating whether phylogenetic relatedness is informative about similarity in measured quantitative traits within focal species pools and across multiple communities. Functions support trait data integration, taxon-specific trait extraction, coverage assessment, optional principal component analysis, and estimation of phylogenetic signal using Pagel's lambda or Blomberg's K. Curated quantitative trait datasets are included for plants, birds, mammals, reptiles, amphibians, and fishes. Paired simulations assess how observed patterns of missing trait data affect Pagel's lambda estimates and significance classifications for individual traits. Methods for quantifying phylogenetic signal are based on Pagel (1999) <doi:10.1038/44766>, Blomberg et al. (2003) <doi:10.1111/j.0014-3820.2003.tb00285.x>, and Münkemüller et al. (2012) <doi:10.1111/j.2041-210X.2012.00196.x>.
Author: Yan He [aut, cre], Yu Xia [aut], Rui Yang [aut], Lingfeng Mao [aut]
Maintainer: Yan He <heyaneco@163.com>

Diff between PNC versions 0.1.0 dated 2025-11-07 and 0.2.0 dated 2026-08-29

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Package PLNmodels updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-27

Title: Poisson Lognormal Models
Description: The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin, 2021 <doi:10.3389/fevo.2021.588292>) can be used for a variety of multivariate problems when count data are at play, including principal component analysis for count data, discriminant analysis, model-based clustering and network inference. Implements variational algorithms to fit such models accompanied with a set of functions for visualization and diagnostic.
Author: Julien Chiquet [aut, cre] , Mahendra Mariadassou [aut] , Stephane Robin [aut], Francois Gindraud [aut], Julie Aubert [ctb], Bastien Batardiere [ctb], Giovanni Poggiato [ctb], Cole Trapnell [ctb], Maddy Duran [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

Diff between PLNmodels versions 1.3.0 dated 2026-07-27 and 1.3.1 dated 2026-08-29

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Package FLSSS updated to version 9.3.0 with previous version 9.2.9 dated 2026-08-26

Title: Mining Rigs for Problems in the Subset Sum Family
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. The solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value multisets with predefined subset sum errors, (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The multi-threaded framework for the latter offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Historical updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) option of mapping floating-point instance to [...truncated...]
Author: Charlie Wusuo Liu [aut, cre]
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>

Diff between FLSSS versions 9.2.9 dated 2026-08-26 and 9.3.0 dated 2026-08-29

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Package Rserve updated to version 1.8-19.1 with previous version 1.8-19 dated 2026-03-24

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Rserve versions 1.8-19 dated 2026-03-24 and 1.8-19.1 dated 2026-08-29

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Package mxcc updated to version 0.0.6 with previous version 0.0.5 dated 2026-04-10

Title: Maxwell Control Charts
Description: Computes Control limits, coefficients of control limits, various performance metrics and depicts control charts for monitoring Maxwell-distributed quality characteristics.
Author: Zahid Khan [aut], Zsolt T. Kosztyan [aut, cre]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

Diff between mxcc versions 0.0.5 dated 2026-04-10 and 0.0.6 dated 2026-08-29

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Package iotools updated to version 0.4-0.1 with previous version 0.4-0 dated 2026-02-19

Title: I/O Tools for Streaming
Description: Basic I/O tools for streaming and data parsing.
Author: Simon Urbanek [aut, cre] , Taylor Arnold [aut]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between iotools versions 0.4-0 dated 2026-02-19 and 0.4-0.1 dated 2026-08-29

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Package Require updated to version 2.1.0 with previous version 2.0.0 dated 2026-05-15

Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and 'require' for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package LABTNSCPSS (with last version 1.0.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-03-26 1.0.2
2026-02-20 1.0

Permanent link
Package twoCoprimary updated to version 1.1.0 with previous version 1.0.0 dated 2025-11-21

Title: Sample Size and Power Calculation for Two Co-Primary Endpoints
Description: Comprehensive functions to calculate sample size and power for clinical trials with two co-primary endpoints. The package supports five endpoint combinations: two continuous endpoints (Sozu et al. 2011 <doi:10.1080/10543406.2011.551329>), two binary endpoints using asymptotic methods (Sozu et al. 2010 <doi:10.1002/sim.3972>) and exact methods (Homma and Yoshida 2025 <doi:10.1177/09622802251368697>), mixed continuous and binary endpoints (Sozu et al. 2012 <doi:10.1002/bimj.201100221>), and mixed count and continuous endpoints (Homma and Yoshida 2024 <doi:10.1002/pst.2337>). All methods appropriately account for correlation between endpoints and provide both sample size and power calculation capabilities.
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

Diff between twoCoprimary versions 1.0.0 dated 2025-11-21 and 1.1.0 dated 2026-08-29

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Fri, 28 Aug 2026

Package Rtwalk updated to version 2.1.0 with previous version 2.0.2 dated 2026-07-30

Title: An MCMC Sampler Using the t-Walk Algorithm
Description: Implements the t-walk algorithm, a general-purpose, self-adjusting Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires no tuning and is robust for a wide range of target distributions, including high-dimensional and multimodal problems. This implementation includes an option for running multiple chains in parallel to accelerate sampling and facilitate convergence diagnostics.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package taxodist updated to version 0.7.0 with previous version 0.6.0 dated 2026-08-19

Title: Taxonomic Hierarchy Distances and Lineage Analysis
Description: Computes distances between taxonomic hierarchy nodes using lineage data retrieved from The Taxonomicon <http://taxonomicon.taxonomy.nl>. For distinct nodes, distance is defined as the reciprocal of the depth of their most recent common ancestor; identical nodes have distance zero. This definition yields an ultrametric within each connected hierarchy. Functions are provided for lineage retrieval and comparison, clade membership, pairwise and matrix distance calculation, hierarchical clustering, principal coordinates analysis, and cache management. Distance matrices are returned as base R 'dist' objects. The distances represent classification depth rather than evolutionary time or phylogenetic branch length.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package yrnd updated to version 0.1.6 with previous version 0.1.5 dated 2026-07-21

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products. It relies on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price as a mixture of lognormal densities. Leveraging on this, the package provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. The package also extracts from the RND of the government bond futures price simultaneously the RND of the cheapest-to-deliver bond yield at options' maturity and the RND of the ctd bond repo rate from options' maturity to futures' maturity. The package also provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at maturity, and also the non parametric distribution of the spread between two bond yields, using two RNDs based on options on bon [...truncated...]
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

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Package SpaDES.tools readmission to version 2.1.3 with previous version 2.1.1 dated 2026-01-11

Title: Additional Tools for Developing Spatially Explicit Discrete Event Simulation (SpaDES) Models
Description: Provides GIS and map utilities, plus additional modeling tools for developing cellular automata, dynamic raster models, and agent based models in 'SpaDES'. Included are various methods for spatial spreading, spatial agents, GIS operations, random map generation, and others. See '?SpaDES.tools' for a categorized overview of these additional tools.
Author: Eliot J B McIntire [aut] , Alex M Chubaty [aut, cre] , Yong Luo [ctb], Ceres Barros [ctb] , Steve Cumming [ctb], Jean Marchal [ctb], His Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>

This is a re-admission after prior archival of version 2.1.1 dated 2026-01-11

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Package smoothbp updated to version 0.2.8 with previous version 0.2.7 dated 2026-06-16

Title: Hierarchical Piecewise Regression with Smoothed Change-Points
Description: Fits Bayesian hierarchical piecewise regression models with multiple logistic-smoothed change-points. Non-linear parameters (change-point locations and transition sharpness) and linear parameters can each be conditioned on covariates and factors via flexible design matrices. A random-intercept structure is supported for any parameter. Spike-and-slab regularization is supported for selecting the number of breakpoints. Posterior inference uses a Metropolis-within-Gibbs sampler implemented in 'Rust' for speed. Methods are based on the smooth transition piecewise regression model of Bacon and Watts (1971) <doi:10.2307/2334389> and variable selection spike-and-slab priors of Kuo and Mallick (1998) <https://www.jstor.org/stable/25053023>. Methods are described in Bindoff (2026) <doi:10.48550/arXiv.2606.19044>.
Author: Aidan D Bindoff [aut, cre]
Maintainer: Aidan D Bindoff <aidan.bindoff@utas.edu.au>

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Package quickSentiment updated to version 0.3.6 with previous version 0.3.5 dated 2026-07-13

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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Package mobdb updated to version 1.0.3 with previous version 1.0.1 dated 2026-08-07

Title: Access the 'Mobility Database' API to Discover Transit Feeds
Description: Search and access transit feed data from the 'Mobility Database' <https://mobilitydatabase.org>. The package wraps the 'Mobility Database' API, allowing users to discover 'GTFS' (General Transit Feed Specification) and 'GBFS' (General Bikeshare Feed Specification) feeds from agencies worldwide. Functions are designed to integrate seamlessly with packages like 'tidytransit' and 'gtfstools' for subsequent feed analysis.
Author: Jason Adle [aut, cre, cph]
Maintainer: Jason Adle <developer@jasonadle.dev>

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Package hydrogeofetch updated to version 2.0.3 with previous version 2.0.2 dated 2026-08-28

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

Diff between hydrogeofetch versions 2.0.2 dated 2026-08-28 and 2.0.3 dated 2026-08-28

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Package hexDensity updated to version 1.4.11 with previous version 1.4.10 dated 2025-09-28

Title: Fast Kernel Density Estimation with Hexagonal Grid
Description: Kernel density estimation with hexagonal grid for bivariate data. Hexagonal grid has many beneficial properties like equidistant neighbours and less edge bias, making it better for spatial analyses than the more commonly used rectangular grid. Carr, D. B. et al. (1987) <doi:10.2307/2289444>. Diggle, P. J. (2010) <doi:10.1201/9781420072884>. Hill, B. (2017) <https://blog.bruce-hill.com/meandering-triangles>. Jones, M. C. (1993) <doi:10.1007/BF00147776>.
Author: Quoc Hoang Nguyen [aut, cre] , Yunshun Chen [aut] , Dan Carr [ctb], binning routine ported by Nicholas Lewin-Koh [ctb], Martin Maechler [ctb]
Maintainer: Quoc Hoang Nguyen <nguyen.q@wehi.edu.au>

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Package gpciLindApproxProgII updated to version 0.1.1 with previous version 0.1.0 dated 2026-08-26

Title: Lindley Approximation for Capability Indices under Progressive Censoring
Description: Implements Bayesian parameter and Generalized Process Capability Indices (GPCIs) estimation using the Lindley approximation method (Lindley, 1980 <doi:10.2307/2345271>) under progressive Type-II censored data (Balakrishnan & Aggarwala, 2000 <doi:10.1007/978-1-4612-1334-5>). Evaluates point estimates and posterior expectations for classical and non-normal capability indices, including Cpy (Maiti et al., 2010 <doi:10.1080/16843703.2010.11673233>), Spmk (Dey & Saha, 2019 <doi:10.1007/s41872-019-00081-4>), CpTk (Saha et al., 2019 <doi:10.1007/s13198-019-00789-7>), Cpc (Saha et al., 2022 <doi:10.1080/02664763.2021.1971632>), CNpmc (Alotaibi et al., 2022 <doi:10.1155/2022/3135264>), CNpmkc (Saha et al., 2024 <doi:10.1142/S021853932450013X>), CNpk (Saha et al., 2018 <doi:10.1080/21681015.2018.1437793>), and Vannman's Cp(u,v) family (Vannman, 1995 <doi:10.1111/j.1467-9574.1995.tb01472.x>). Calculates point estimates, bias, mea [...truncated...]
Author: Shikhar Tyagi [aut, cre] , Sumit Kumar [aut], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>

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Package extrafrail updated to version 1.15 with previous version 1.14 dated 2025-08-24

Title: Estimation and Additional Tools for Alternative Shared Frailty Models
Description: Provide estimation and data generation tools for new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders, truncated normal, mixture of inverse Gaussian, mixture of Birnbaum-Saunders, generalized exponential, Jorgensen-Seshadri-Whitmore, weighted Akash, weighted Shanker and weighted Sujatha as the distribution for frailty terms. For the basal model, it is considered a parametric approach based on the exponential, Weibull and the piecewise exponential distributions as well as a semiparametric approach. For details, see Gallardo et al. (2024) <doi:10.1007/s11222-024-10458-w>, Gallardo et al. (2025) <doi:10.1002/bimj.70044>, Kiprotich et al. (2025) <doi:10.1177/09622802251338984>, Gallardo et al. (2025) <doi:10.1038/s41598-025-15903-y>, Kiprotich et al. (2026) <doi:10.1080/00949655.2025.2584734 and Mohammadi et al. (2026).
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], John Santibanez [ctb], Gilbert Kiprotich [ctb], Pedro Ramos [ctb], Thomas Augustin [ctb], Zohreh Mohammadi [ctb], Paulo Ferreira [ctb], Gerson Primo [ctb]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package eq5d updated to version 0.17.0 with previous version 0.16.3 dated 2026-03-30

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a widely used health-related quality-of-life instrument developed by the EuroQol Group and used in the clinical and economic evaluation of health care. Health is described using five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) rated on either a three-level (EQ-5D-3L and EQ-5D-Y-3L) or five-level (EQ-5D-5L) scale. Responses can be reported as EQ-5D health states or converted to utility index scores using country-specific value sets. The package provides methods for the valuation, reporting and analysis of EQ-5D data. Utility index scores can be calculated for EQ-5D-3L, EQ-5D-5L and EQ-5D-Y-3L data using a wide range of value sets and mapping approaches. Functionality is also provided for descriptive-system reporting, severity and distributional summaries, informativity measures, health-state distribution analysis, longitudinal change analysis, probability of superiority analysis and Health Profile Grid visualisation. Methods descr [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Permanent link

Package CMTFtoolbox readmission to version 1.1.1 with previous version 1.0.1 dated 2025-08-22

Title: Create (Advanced) Coupled Matrix and Tensor Factorization Models
Description: Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using 'ACMTF_modelSelection()' and 'ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.
Author: Geert Roelof van der Ploeg [aut, cre] , Johan Westerhuis [ctb] , Anna Heintz-Buschart [ctb] , Age Smilde [ctb] , University of Amsterdam [cph, fnd]
Maintainer: Geert Roelof van der Ploeg <roel@simula.no>

This is a re-admission after prior archival of version 1.0.1 dated 2025-08-22

Diff between CMTFtoolbox versions 1.0.1 dated 2025-08-22 and 1.1.1 dated 2026-08-28

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Permanent link

Package bayesics updated to version 3.0.2 with previous version 3.0.1 dated 2026-08-26

Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in <doi:10.1080/01621459.1995.10476635>. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for d [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>

Diff between bayesics versions 3.0.1 dated 2026-08-26 and 3.0.2 dated 2026-08-28

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Permanent link

Package accelEE readmission to version 0.3.2 with previous version 0.3.1 dated 2026-05-12

Title: Predict Energy Expenditure from Accelerometry Data
Description: Simplifies the application of various energy expenditure models. The package is intended as a hub that brings together methods from a variety of other, themed packages such as 'Sojourn' and 'TwoRegression'. Several methods are supported locally as well, including the linear methods of Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289> and the non-linear adaptation by Ellingson et al. (2017) <doi:10.1088/1361-6579/aa6d00>. The package can combine output from different methods and produce standardized output in a range of units.
Author: Paul R. Hibbing [aut, cre], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>

This is a re-admission after prior archival of version 0.3.1 dated 2026-05-12

Diff between accelEE versions 0.3.1 dated 2026-05-12 and 0.3.2 dated 2026-08-28

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 MD5         |    4 ++--
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Permanent link

Package VizModules updated to version 0.4.0 with previous version 0.3.0 dated 2026-07-27

Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>

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Package textrar updated to version 0.9.0 with previous version 0.8.0 dated 2024-04-23

Title: Interface to 'TexTra' from R
Description: A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, a web service for translating texts between different languages. 'TexTra' API account is required to use the service.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package geoprofiler updated to version 0.0.4 with previous version 0.0.3 dated 2025-12-11

Title: Perpendicular Line Transects for Geosciences
Description: Toolset to create perpendicular profile graphs and swath profiles. Method are based on coordinate rotation algorithm by Schaeben et al. (2024) <doi:10.1002/mma.9823>.
Author: Tobias Stephan [aut, cre]
Maintainer: Tobias Stephan <tobias.stephan1@yahoo.com>

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Package rqualify updated to version 1.1.0 with previous version 1.0.2 dated 2026-04-16

Title: Qualification of R Software Installations
Description: Qualify R software installations using R Markdown as the foundation for the Installation Qualification (IQ) and Operational Qualification (OQ) when used in environments (such as regulated clinical trials) where such processes may be required.
Author: Donnie Musgrove [aut, cre], Graeme L. Hickey [aut] , Marc Schwartz [aut] , Alan Haynes [ctb], Bryan Martin [ctb], Medtronic Inc. [cph]
Maintainer: Donnie Musgrove <donniemusgrove@gmail.com>

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Package projoint updated to version 1.1.4 with previous version 1.1.3 dated 2026-07-31

Title: Conjoint Analysis with Reliability Correction and Visualization
Description: Provides tools for analyzing data generated from conjoint survey experiments, a method widely used in the social sciences for studying multidimensional preferences. The package implements estimation of marginal means (MMs) and average marginal component effects (AMCEs), with corrections for measurement error. Methods include profile-level and choice-level estimators, bias correction using intra-respondent reliability (IRR), and visualization utilities. For details on the methodology, see Clayton, Horiuchi, Kaufman, King, and Komisarchik (2025) <https://gking.harvard.edu/conjointE>.
Author: Yusaku Horiuchi [aut, cre] , Aaron Kaufman [aut] , Gary King [aut]
Maintainer: Yusaku Horiuchi <yusaku.horiuchi@gmail.com>

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Package LogicForest updated to version 2.1.5 with previous version 2.1.4 dated 2026-04-03

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

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Package causalDT updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-03

Title: Causal Distillation Trees
Description: Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.
Author: Tiffany Tang [aut, cre] , Melody Huang [aut], Ana Kenney [aut]
Maintainer: Tiffany Tang <ttang4@nd.edu>

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Package tripaccess updated to version 0.2.0 with previous version 0.1.0 dated 2026-07-04

Title: American Travel Behavior and Access Datasets
Description: Subsets of data from the National Household Travel Survey 2017. It includes personal trips, mobility, demographic, and household information. It is suitable for data visualization, data wrangling, joining datasets, exploratory data analysis, group comparisons, simple linear regression, categorical data analysis, and data ethics discussion in data science and statistics classes.
Author: Shiya Cao [aut, cre], Amber Zhang [ctb], Anna Zhao [ctb], Smith College [cph]
Maintainer: Shiya Cao <scao53@smith.edu>

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Package exdqlm updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-09

Title: Extended Dynamic Quantile Linear Models
Description: Bayesian quantile-regression routines for dynamic state-space models and static regression under the extended asymmetric Laplace (exAL) error distribution. The dynamic state-space models are extended dynamic quantile linear models (exDQLMs). The package combines dynamic exDQLM inference via Laplace-delta variational Bayes (LDVB), Markov chain Monte Carlo (MCMC), and legacy importance-sampling variational Bayes (ISVB) with static exAL regression via LDVB and MCMC, reduced asymmetric Laplace/dynamic quantile linear model (AL/DQLM) paths through fixed skewness, component builders for trend/seasonality/regression blocks, static shrinkage priors including ridge, regularized horseshoe, and 'rhs_ns', evidence lower bound (ELBO) diagnostics, optional C++ accelerators, and posterior predictive synthesis across separately fitted quantiles through 'quantileSynthesis()'. Dynamic exDQLM methods are described in Barata et al. (2020) <doi:10.1214/21-AOAS1497>.
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths], Antonio Aguirre [aut]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>

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Package spCF updated to version 0.2.1 with previous version 0.2.0 dated 2026-08-04

Title: Coarse-to-Fine Spatial and Spatio-Temporal Modeling
Description: Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) <doi:10.1111/gean.70034> and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.
Author: Daisuke Murakami [aut, cre], Alexis Comber [aut], Takahiro Yoshida [aut], Narumasa Tsutsumida [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut], Jose Luis Blanco-Claraco [ctb, cph] ), Marius Muja [cph] , David G. Lowe [cph]
Maintainer: Daisuke Murakami <dmuraka@ism.ac.jp>

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Package rwavelet updated to version 0.4.2 with previous version 0.4.1 dated 2020-12-12

Title: Wavelet Analysis
Description: Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression, denoising/regression or clustering. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram.
Author: Fabien Navarro [aut, cre], Christophe Chesneau [aut]
Maintainer: Fabien Navarro <fnavarro@math.cnrs.fr>

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Package RMVL updated to version 1.1.0.4 with previous version 1.1.0.3 dated 2026-04-13

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

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Package mikropml updated to version 1.7.1 with previous version 1.7.0 dated 2025-10-28

Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Description: An interface to build machine learning models for classification and regression problems. 'mikropml' implements the ML pipeline described by Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default options for data preprocessing, hyperparameter tuning, cross-validation, testing, model evaluation, and interpretation steps. See the website <https://www.schlosslab.org/mikropml/> for more information, documentation, and examples.
Author: Beguem Topcuoglu [aut] , Zena Lapp [aut] , Kelly Sovacool [aut, cre] , Evan Snitkin [aut] , Jenna Wiens [aut] , Patrick Schloss [aut] , Nick Lesniak [ctb] , Courtney Armour [ctb] , Sarah Lucas [ctb] , Tuomas Borman [ctb]
Maintainer: Kelly Sovacool <sovacool@umich.edu>

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Package melodi updated to version 1.1.2 with previous version 1.1.0 dated 2026-07-29

Title: Download Insee French Institute of Statistics Open Data
Description: A wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.
Author: Cedric Bobinec [aut, cre], Christophe Goudeau [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Cedric Bobinec <cedric.bobinec@insee.fr>

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Package FinanceGraphs updated to version 0.9.21 with previous version 0.9.2 dated 2026-08-21

Title: Flexible Graphs for Analysis of Financial Data and Time Series
Description: Flexible wrappers around R graphics modules 'dygraphs' <https://dygraphs.com/> and 'ggplot2' <https://ggplot2.tidyverse.org/> to visualize data commonly found in Financial Studies, with an emphasis on time series. Interactive time series plots include multiple options for incorporating external data such as forecasts and events. Other static plots useful for time series data include an intuitive and generic scatter plotter, a boxplot generator suitable for multiple time series, and event study plotters for time series analysis around sets of dates.
Author: Derek Holmes [aut, cre, cph]
Maintainer: Derek Holmes <derek@derekholmes.com>

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Package fastml updated to version 0.7.10 with previous version 0.7.9 dated 2026-08-19

Title: Guarded Resampling Workflows for Leakage-Aware Machine Learning in R
Description: Provides a guarded resampling workflow for training and evaluating machine-learning models. When the guarded resampling path is used, preprocessing and model fitting are re-estimated within each resampling split to reduce leakage risk. Supports multiple resampling schemes, integrates with established engines in the 'tidymodels' ecosystem, and aims to improve evaluation reliability by coordinating preprocessing, fitting, and evaluation within supported workflows. Offers a lightweight AutoML-style workflow by automating model training, resampling, and tuning across multiple algorithms, while keeping evaluation design explicit and user-controlled.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package ctrdata updated to version 1.26.3 with previous version 1.26.2 dated 2026-07-12

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<https://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored as JSON in a database ('PostgreSQL', 'SQLite', 'DuckDB', 'MongoDB' or 'MariaDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial analysis concepts canonically across registers, identify deduplicated records across registers, easily find and extract variables (fields) of interest e [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

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Package CarletonStats updated to version 2.3 with previous version 2.2 dated 2023-08-22

Title: Functions for Statistics Classes at Carleton College
Description: Includes commands for bootstrapping and permutation tests, a command for created grouped bar plots, and a demo of the quantile-normal plot for data drawn from different distributions.
Author: Laura Chihara [aut], Adam Loy [aut, cre]
Maintainer: Adam Loy <aloy@carleton.edu>

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Package rstudiothemes updated to version 1.2.0 with previous version 1.1.2 dated 2026-06-19

Title: Create and Install Custom 'RStudio' Themes
Description: Create, convert and install custom 'RStudio' editor themes from 'Visual Studio Code', 'Positron' and 'TextMate' theme files. Convert themes between 'TextMate', 'Visual Studio Code' and 'Positron' formats and install bundled ports of popular themes for use in 'RStudio'. Inspect theme files as tabular data for custom conversion workflows.
Author: Diego Hernangomez [aut, cre, cph] , Garrick Aden-Buie [cph] function)
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package nparLD updated to version 2.3.1 with previous version 2.3.0 dated 2026-08-22

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package bsitar updated to version 0.4.0 with previous version 0.3.3 dated 2026-03-25

Title: Bayesian Super Imposition by Translation and Rotation Growth Curve Analysis
Description: The Super Imposition by Translation and Rotation (SITAR) model is a shape-invariant nonlinear mixed effect model that fits a natural cubic spline mean curve to the growth data and aligns individual-specific growth curves to the underlying mean curve via a set of random effects (see Cole, 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the SITAR model can be fit by using the already available R package 'sitar'. Unlike the 'sitar' package which allows modelling of a single outcome only, the 'bsitar' package offers great flexibility in fitting models of varying complexities, including joint modelling of multiple outcomes such as height and weight (multivariate model). Additionally, the 'bsitar' package allows for the simultaneous analysis of an outcome separately for subgroups defined by a factor variable such as gender. This is achieved by fitting separate models for each subgroup (for example males and females for gender variable). An advantage of this appr [...truncated...]
Author: Satpal Sandhu [aut, cre, cph]
Maintainer: Satpal Sandhu <satpal.sandhu@bristol.ac.uk>

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Package apisensr updated to version 2.0.1 with previous version 2.0.0 dated 2025-05-16

Title: Interface to 'episensr' for Sensitivity Analysis of Epidemiological Results
Description: API for using 'episensr', Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. See <https://cran.r-project.org/package=episensr>.
Author: Denis Haine [aut, cre]
Maintainer: Denis Haine <cheval@zaclys.net>

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Package TmCalculator updated to version 1.0.9 with previous version 1.0.8 dated 2026-07-29

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Twenty-seven nearest-neighbor parameter sets are provided, covering DNA, RNA and RNA/DNA hybrid duplexes. These include se [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package RCtest updated to version 1.2 with previous version 1.1 dated 2026-08-20

Title: Reality Check and Predictive Ability Tests for Forecast Evaluation
Description: Implements a comprehensive suite of statistical tests for evaluating the accuracy of forecasting models against a benchmark. The package is grounded in the reality check framework of White (2000) <doi:10.1111/1468-0262.00152>, extended by Hansen (2005) <doi:10.1198/073500105000000063> for Superior Predictive Ability (SPA), Giacomini & White (2006) <doi:10.1111/j.1468-0262.2006.00718.x> for Conditional Predictive Ability (CPA), and Corradi & Swanson (2006) <doi:10.1016/j.jeconom.2005.07.026> for predictive density evaluation via the Kullback-Leibler Information Criterion (KLIC) and ZP Quantile Loss test, the Continuous Ranked Probability Score (CRPS) (Gneiting & Raftery, 2007) <doi:10.1198/016214506000001437>, coverage tests (Kupiec, 1995) <doi:10.3905/jod.1995.407942>, HAC covariance estimation (Newey & West, 1987) <doi:10.2307/1913610>, and Moving Block Bootstrap resampling (Kunsch, 1989) <doi:10.1214/aos/1176347265>.
Author: Joanna Jedrzejewska [aut, cre] , Krzysztof Drachal [ctb]
Maintainer: Joanna Jedrzejewska <j.jedrzejewska3@uw.edu.pl>

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Package PRA readmission to version 0.6.0 with previous version 0.4.0 dated 2026-04-08

Title: Project Risk Analysis
Description: Data analysis for Project Risk Management via the Second Moment Method, Monte Carlo Simulation, Contingency Analysis, Sensitivity Analysis, Earned Value Management, Learning Curves, Bayesian Methods, and more.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2026-04-08

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Package manynet updated to version 2.3.1 with previous version 2.2.3 dated 2026-07-30

Title: Many Ways to Make, Manipulate, and Modify Myriad Networks
Description: Many tools for making, manipulating, and modifying many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Tomas Diviak [ctb], Henrique Sposito [ctb] , Christian Steglich [ctb], Alvaro Uzaheta [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package glyparse updated to version 0.8.1 with previous version 0.7.1 dated 2026-07-08

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, KCF, and GlycoWorkbench formats. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.7.1 dated 2026-07-08 and 0.8.1 dated 2026-08-28

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Package epidatr updated to version 1.3.0 with previous version 1.2.4 dated 2026-06-02

Title: Client for Delphi's 'Epidata' API
Description: The Delphi 'Epidata' API provides real-time access to epidemiological surveillance data for influenza, 'COVID-19', and other diseases for the USA at various geographical resolutions, both from official government sources such as the Center for Disease Control (CDC) and Google Trends and private partners such as Facebook and Change 'Healthcare'. It is built and maintained by the Carnegie Mellon University Delphi research group. To cite this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J. 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API. <https://github.com/cmu-delphi/delphi-epidata>.
Author: Logan Brooks [aut], Dmitry Shemetov [aut], Samuel Gratzl [aut], David Weber [ctb, cre], Nat DeFries [ctb], Alex Reinhart [ctb], Daniel J. McDonald [ctb], Kean Ming Tan [ctb], Will Townes [ctb], George Haff [ctb], Kathryn Mazaitis [ctb]
Maintainer: David Weber <davidweb@andrew.cmu.edu>

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Package DSIR readmission to version 0.9.0 with previous version 0.8.0 dated 2026-07-02

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, an average annual rate of reduction function for indicator progress tracking, direct age standardization against the bundled WHO World Standard Population, period life-table construction, a snapshot helper for reproducible data pulls, and convenience clients for the World Health Organization Global Health Observatory (GHO) OData API <https://ghoapi.azureedge.net/api/> and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

This is a re-admission after prior archival of version 0.8.0 dated 2026-07-02

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Package ctgimme updated to version 0.1.0 with previous version 0.0.12 dated 2026-08-24

Title: Continuous-Time Subgrouping with GIMME
Description: Estimates group-, subgroup-, and individual-level dynamic structures from multivariate intensive longitudinal data using continuous-time state-space models. The subgrouping procedure combines iterative shared-path searches with recurrent-evidence feature screening and partitioning around medoids. The continuous-time group iterative multiple model estimation method is described in Park et al. (2025) <doi:10.1080/10705511.2024.2429544>.
Author: Jonathan J. Park [aut, cre, cph] , Nathan Xin Mills [aut, ctb]
Maintainer: Jonathan J. Park <imJPark@UCDavis.edu>

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Package countryatlas updated to version 2.0.1 with previous version 2.0.0 dated 2026-08-25

Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Description: A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key. It generalises a one-call, map-ready table that stitches together 'ggplot2' map geometry, 'WDI' World Bank indicators and the 'countrycode' Rosetta stone; exposes the join machinery for the user's own data; ships curated reference data (metadata, group memberships, an indicator catalogue, flags and currencies); adds analysis helpers (per-capita, regional roll-ups, ranking, inequality and convergence statistics); and turns one hand-drawn choropleth into a full vocabulary of projected, area-honest maps (binned and quantile choropleths, proportional-symbol, spike, bivariate, cartogram, tile-grid, flow, small-multiple, animated, globe and interactive), and can hand its curated, ISO-reconciled tables to 'ggsql' [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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Package TreeMineR updated to version 1.1.1 with previous version 1.1.0 dated 2026-08-25

Title: Tree-Based Scan Statistics
Description: Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.
Author: Joshua P. Entrop [aut, cre, cph] , Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

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Package scDHA updated to version 1.2.4 with previous version 1.2.3 dated 2025-09-23

Title: Single-Cell Decomposition using Hierarchical Autoencoder
Description: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
Author: Ha Nguyen [cre], Duc Tran [aut], Tin Nguyen [fnd], Hao Chen [ctb]
Maintainer: Ha Nguyen <hvn0006@wayne.edu>

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Package hydrogeofetch updated to version 2.0.2 with previous version 2.0.1 dated 2026-08-21

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package episensr updated to version 2.2.0 with previous version 2.1.0 dated 2025-11-04

Title: Basic Sensitivity Analysis of Epidemiological Results
Description: Basic sensitivity analysis of the observed relative risks adjusting for unmeasured confounding and misclassification of the exposure/outcome, or both. It follows the bias analysis methods and examples from the book by Fox M.P., MacLehose R.F., and Lash T.L. "Applying Quantitative Bias Analysis to Epidemiologic Data, second ed.", ('Springer', 2021).
Author: Denis Haine [aut, cre]
Maintainer: Denis Haine <cheval@zaclys.net>

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Package dann updated to version 1.3.0 with previous version 1.2.0 dated 2026-08-22

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. The neighborhood is elongated along class boundaries and shrunk in the orthogonal direction. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package bookdown updated to version 0.48 with previous version 0.47 dated 2026-06-16

Title: Authoring Books and Technical Documents with R Markdown
Description: Output formats and utilities for authoring books and technical documents with R Markdown.
Author: Yihui Xie [aut, cre] , Christophe Dervieux [ctb] , JJ Allaire [ctb], Albert Kim [ctb], Alessandro Samuel-Rosa [ctb], Andrzej Oles [ctb], Atsushi Yasumoto [ctb] , Aust Frederik [ctb] , Bastiaan Quast [ctb], Ben Marwick [ctb], Chester Ismay [ctb], Clif [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package bbk updated to version 0.13.0 with previous version 0.12.0 dated 2026-07-10

Title: Client for Central Bank APIs
Description: A client for retrieving data and metadata from central bank APIs including 'Banco Central do Brasil' (BCB), 'Banco de España' (BdE), 'Banco de México' (Banxico), 'Banco de Portugal' (BdP), 'Bank for International Settlements' (BIS), 'Bank of Canada' (BoC), 'Bank of England' (BoE), 'Bank of Israel' (BoI), 'Bank of Japan' (BoJ), 'Banque de France' (BdF), 'Czech National Bank' (CNB), 'Deutsche Bundesbank' (BBk), 'European Central Bank' (ECB), 'National Bank of Poland' (NBP), 'Norges Bank' (NoB), 'Oesterreichische Nationalbank' (OeNB), 'Sveriges Riksbank' (SRb), and 'Swiss National Bank' (SNB).
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package scov updated to version 2.0.2 with previous version 2.0.0 dated 2026-03-18

Title: Structured Covariances Estimators for Pairwise and Spatial Covariates
Description: Implements estimators for structured covariance matrices in the presence of pairwise and spatial covariates. Metodiev, Perrot-Dockès, Ouadah, Fosdick, Robin, Latouche & Raftery (2026) <doi:10.1214/26-AOAS2183>.
Author: Martin Metodiev [aut, cre, cph] , Marie Perrot-Dockes [aut], Stephane Robin [aut]
Maintainer: Martin Metodiev <m.metodiev@tutanota.com>

Diff between scov versions 2.0.0 dated 2026-03-18 and 2.0.2 dated 2026-08-28

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Package modEvA updated to version 3.46 with previous version 3.45 dated 2026-05-21

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Carlos C. Ra [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package lnmCluster updated to version 1.0.0 with previous version 0.3.1 dated 2022-07-20

Title: Perform Logistic Normal Multinomial Clustering for Microbiome Compositional Data
Description: An implementation of logistic normal multinomial (LNM) clustering. It is an extension of LNM mixture model proposed by Fang and Subedi (2020) <doi:10.1038/s41598-023-41318-8>, and is designed for clustering compositional data. The package includes 3 extended models: LNM Factor Analyzer (LNM-FA), LNM Bicluster Mixture Model (LNM-BMM) and Penalized LNM Factor Analyzer (LNM-FA). There are several advantages of LNM models: 1. LNM provides more flexible covariance structure; 2. Factor analyzer can reduce the number of parameters to estimate; 3. Bicluster can simultaneously cluster subjects and taxa, and provides significant biological insights; 4. Penalty term allows sparse estimation in the covariance matrix. Details for model assumptions and interpretation can be found in papers: Tu and Subedi (2023) <doi:10.1007/s00357-023-09452-0> and Tu and Subedi (2022) <doi:10.3329/jsr.v56i2.67469>. It also include a Biclustering algorithm that applies to multivariate normal data: T [...truncated...]
Author: Wangshu Tu [aut, cre], Sanjeena Subedi [aut], Yuan Fang [aut]
Maintainer: Wangshu Tu <wangshu.tu@carleton.ca>

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Package fuzzySim updated to version 4.59 with previous version 4.54 dated 2026-05-21

Title: Fuzzy Similarity in Species Distributions
Description: Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially desc [...truncated...]
Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package steinsampling updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-21

Title: Kernelized Stein Discrepancy for Goodness-of-Fit Tests and Stein Sampling
Description: Provides Stein-discrepancy goodness-of-fit tests and Stein-method-based sampling tools. The tests include kernel Stein discrepancy U- and V-statistics following Liu et al. (2016) <doi:10.48550/arXiv.1602.03253> and Chwialkowski et al. (2016) <doi:10.48550/arXiv.1602.02964>, plus the finite set Stein discrepancy test of Jitkrittum et al. (2017) <doi:10.48550/arXiv.1705.07673>. The sampling tools include Stein thinning, Stein Points, Stein Point Markov chain Monte Carlo, and Stein variational gradient descent following Riabiz et al. (2022) <doi:10.48550/arXiv.2005.03952>, Chen et al. (2018) <doi:10.48550/arXiv.1803.10161>, Chen et al. (2019) <doi:10.48550/arXiv.1905.03673>, and Liu and Wang (2016) <doi:10.48550/arXiv.1608.04471>. Gaussian mixture utilities are included for constructing example targets, simulation, density evaluation, and score callbacks.
Author: Junhao Gao [aut, cre], Ery Arias-Castro [aut]
Maintainer: Junhao Gao <jug049@ucsd.edu>

Diff between steinsampling versions 0.1.0 dated 2026-07-21 and 0.1.1 dated 2026-08-28

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Package performance updated to version 0.18.0 with previous version 0.17.1 dated 2026-06-30

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package corels updated to version 0.0.6 with previous version 0.0.5 dated 2024-12-04

Title: R Binding for the 'Certifiably Optimal RulE ListS (Corels)' Learner
Description: The 'Certifiably Optimal RulE ListS (Corels)' learner by Angelino et al described in <doi:10.48550/arXiv.1704.01701> provides interpretable decision rules with an optimality guarantee, and is made available to R with this package. See the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Dirk Eddelbuettel [aut, cre] , Nicholas Larus-Stone [aut] , Elaine Angelino [aut] , Daniel Alabi [ctb] , Cynthia Rudin [ctb] , Margo Seltzer [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package bifactory updated to version 0.5.2 with previous version 0.5.1 dated 2026-07-11

Title: (Bifactor) ESEM with Continuous (MLR) or Ordered (WLSMV) Data
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordered-categorical data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordered-categorical ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordered B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and t [...truncated...]
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>

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Package npmv updated to version 2.5.0 with previous version 2.4.1 dated 2025-01-07

Title: Nonparametric Comparison of Multivariate Samples
Description: Performs analysis of one-way multivariate data, for small samples using Nonparametric techniques. Using approximations for ANOVA Type, Wilks' Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the package compares the multivariate distributions for a single explanatory variable. The comparison is also performed using a permutation test for each of the four test statistics. The package also performs an all-subsets algorithm regarding variables and regarding factor levels.
Author: Woodrow Burchett [aut], Amanda Ellis [aut], Wanda Lauth [aut, cre]
Maintainer: Wanda Lauth <wanda.lauth@pmu.ac.at>

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Package modelbased updated to version 0.17.0 with previous version 0.16.0 dated 2026-06-30

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Remi Theriault [aut]
Maintainer: Dominique Makowski <officialeasystats@gmail.com>

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Package ggtext updated to version 0.2.0 with previous version 0.1.2 dated 2022-09-16

Title: Improved Text Rendering Support for 'ggplot2'
Description: A 'ggplot2' extension that enables the rendering of complex formatted plot labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with automatic word wrap are also supported.
Author: Claus O. Wilke [aut] , Brenton M. Wiernik [aut, cre]
Maintainer: Brenton M. Wiernik <brenton@wiernik.org>

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Package CopernicusMarine updated to version 0.4.9 with previous version 0.4.8 dated 2026-07-20

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.4.8 dated 2026-07-20 and 0.4.9 dated 2026-08-28

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Package CopernicusDataspace updated to version 0.0.5 with previous version 0.0.4 dated 2026-07-20

Title: Search Download and Handle Data from the Copernicus Data Space Ecosystem
Description: The Copernicus Data Space Ecosystem, is an open ecosystem that provides free instant access to a wide range of data and services from the Copernicus Sentinel missions and more on our planet’s land, oceans and atmosphere. This package provides entry points to several APIs allowing users to access the data directly in R.
Author: Pepijn de Vries [aut, cre] , Alicia Hamer [rtm] , LVVN [fnd] , WMR [ctr]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package compareGroups updated to version 4.10.3 with previous version 4.10.2 dated 2026-01-07

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] , Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

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Package arakno updated to version 1.3.3 with previous version 1.3.2 dated 2026-04-20

Title: ARAchnid KNowledge Online
Description: Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Author: Pedro Cardoso [aut, cre]
Maintainer: Pedro Cardoso <pmcardoso@ciencias.ulisboa.pt>

Diff between arakno versions 1.3.2 dated 2026-04-20 and 1.3.3 dated 2026-08-28

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Package wbstats updated to version 1.2 with previous version 1.1 dated 2025-09-14

Title: Programmatic Access to Data and Statistics from the World Bank API
Description: Search and download data from the World Bank Data API. Includes support for mutliple languages, access to annual, quarterly, and monthly data.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jesse Piburn [aut] , The World Bank [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between wbstats versions 1.1 dated 2025-09-14 and 1.2 dated 2026-08-28

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New package VanillaCalendar with initial version 1.0.0
Package: VanillaCalendar
Title: Interactive Calendar and Date Picker Widget
Version: 1.0.0
Description: An R interface to the 'Vanilla Calendar Pro' 'JavaScript' library (version 3.2.0, bundled) for creating interactive and customizable calendar widgets and date pickers. The package enables integration of modern calendar components in R and 'Shiny' applications, with support for date, month, year and time selection, popup input mode, theming, and in-place updates from the 'Shiny' server.
URL: https://github.com/ESCRI11/vanilla-calendar-r
BugReports: https://github.com/ESCRI11/vanilla-calendar-r/issues
License: GPL (>= 3)
Copyright: The bundled Vanilla Calendar Pro library is copyright Yury Uvarov and released under the MIT licence; see inst/htmlwidgets/lib/VanillaCalendar-3.2.0/LICENSE.
Encoding: UTF-8
Imports: htmlwidgets
Suggests: shiny, testthat (>= 3.0.0), shinytest2, chromote, htmltools, withr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-08-21 09:11:28 UTC; massagno
Author: Xavier Escriba Montagut [aut, cre], Yury Uvarov [ctb, cph]
Maintainer: Xavier Escriba Montagut <xavier.escriba.montagut@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-28 10:00:15 UTC

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Package uaparserjs updated to version 0.4.1 with previous version 0.4.0 dated 2026-07-02

Title: Parse 'User-Agent' Strings
Description: Parses HTTP user agent strings and returns user agent, device and OS information. This is a ‘V8’-backed package that uses the UA, device and OS definitions from the ‘ua-parser’ project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb], Jim Vine [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

Diff between uaparserjs versions 0.4.0 dated 2026-07-02 and 0.4.1 dated 2026-08-28

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Package TTE updated to version 1.1.2 with previous version 1.1.1 dated 2026-08-02

Title: Design and Analysis Tools for Target Trial Emulation
Description: Design and analysis tools for target trial emulation using longitudinal observational data. Functions are provided for checking person-period data, expanding longitudinal data into sequentially nested trials, estimating inverse probability weights for intention-to-treat and per-protocol analyses, and assessing weight distributions and covariate balance. Additional functions fit weighted pooled discrete-time outcome models, obtain standardized risks and treatment contrasts, and estimate weighted Kaplan-Meier and Aalen-Johansen curves. Two worked examples based on fully synthetic data illustrate an active-comparator new-user study comparing sodium-glucose cotransporter 2 inhibitors with dipeptidyl peptidase-4 inhibitors and an analysis of sequentially nested trials comparing angiotensin receptor blocker and calcium channel blocker strategies.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

Diff between TTE versions 1.1.1 dated 2026-08-02 and 1.1.2 dated 2026-08-28

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Package MedZIsc updated to version 0.0.5 with previous version 0.0.4 dated 2025-07-16

Title: Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell Data
Description: A causal mediation framework for single-cell data that incorporates two key features ('MedZIsc', pronounced Magics): (1) zero-inflation using beta regression and (2) overdispersed expression counts using negative binomial regression. This approach also includes a screening step based on penalized and marginal models to handle high-dimensionality. Full methodological details are available in our recent preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2507.06113>.
Author: Seungjun Ahn [cre, aut] , Zhigang Li [ctb]
Maintainer: Seungjun Ahn <seungjun.ahn@mountsinai.org>

Diff between MedZIsc versions 0.0.4 dated 2025-07-16 and 0.0.5 dated 2026-08-28

 DESCRIPTION      |    8 ++++----
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New package layeranalyzer with initial version 0.4.1
Package: layeranalyzer
Title: Time Series Analysis Tool using Linear Layered SDEs
Version: 0.4.1
Date: 2026-08-16
Encoding: UTF-8
Maintainer: Trond Reitan <trond.reitan@geo.uio.no>
Description: Time series analysis tool using linear layered stochastic differential equations. The package allows for multiple time series with correlative and/or causal links between them. Unmeasured causal processes are allowed to affect the measured processes in a layered structure, hence the name of the package. In case of causal feedback loops, the matrix operations (including eigenvalue decompositions) allows for complex numbers. In this case, cyclic behavior can be expected. Details can be found in Reitan and Liow (2019)<doi:10.1111/2041-210X.13299>.
License: LGPL-3
Suggests: knitr, rmarkdown, markdown
Depends: R (>= 2.10)
Imports: methods, stats, Rcpp, coda (>= 0.19.1)
LinkingTo: Rcpp
URL: https://folk.universitetetioslo.no/trondr/R/
LazyData: true
ByteCompile: yes
Biarch: no
NeedsCompilation: yes
Packaged: 2026-08-21 07:53:48 UTC; trondr
Author: Trond Reitan [aut, cre] , Lee Hsiang Liow [ctb] , Adam T. Kocsis [ctb]
Repository: CRAN
Date/Publication: 2026-08-28 09:50:08 UTC

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Package hockeystick updated to version 1.0.0 with previous version 0.9.1 dated 2026-07-08

Title: Download and Visualize Essential Global Heating Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, CMIP6 projections, sea levels, Arctic/Antarctic sea-ice, Hurricanes, Wildfires, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.htm [...truncated...]
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>

Diff between hockeystick versions 0.9.1 dated 2026-07-08 and 1.0.0 dated 2026-08-28

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Package fntl updated to version 0.1.3.2 with previous version 0.1.3.1 dated 2026-07-30

Title: Numerical Tools for 'Rcpp' and Lambda Functions
Description: Provides a 'C++' API for routinely used numerical tools such as integration, root-finding, and optimization, where function arguments are given as lambdas. This facilitates 'Rcpp' programming, enabling the development of 'R'-like code in 'C++' where functions can be defined on the fly and use variables in the surrounding environment.
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>

Diff between fntl versions 0.1.3.1 dated 2026-07-30 and 0.1.3.2 dated 2026-08-28

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Package ebrahim.gof updated to version 2.6.0 with previous version 2.4.0 dated 2026-07-22

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test, the directed 'EDGE' test, 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), a Cauchy-combination ensemble, 'legoft()' (a pretrained combination whose weights are fixed offline and ship frozen, so two analysts obtain the same p-value), and 'shrink. [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

Diff between ebrahim.gof versions 2.4.0 dated 2026-07-22 and 2.6.0 dated 2026-08-28

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Package dobson updated to version 0.4.1 with previous version 0.4 dated 2018-11-20

Title: Data from the GLM Book by Dobson and Barnett
Description: Example datasets from the book "An Introduction to Generalised Linear Models" (4th edition) (Year: 2018, <isbn:9781138741515>) by Dobson and Barnett.
Author: Adrian Barnett [aut, cre, cph]
Maintainer: Adrian Barnett <a.barnett@qut.edu.au>

Diff between dobson versions 0.4 dated 2018-11-20 and 0.4.1 dated 2026-08-28

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New package deli with initial version 0.1.0
Package: deli
Title: M-Estimation and Empirical Sandwich Variance Estimation
Version: 0.1.0
Description: Solves estimating equations to obtain M-estimators together with empirical sandwich variance estimates, providing a general interface for both custom and built-in estimating equations. Built-in equations cover basic statistics, regression, causal inference, survival analysis, measurement error, and more. An 'R' port of the 'Python' library 'delicatessen' described in 'Zivich et al. (2022)' <doi:10.48550/arXiv.2203.11300>.
License: MIT + file LICENSE
URL: https://github.com/r-causal/deli, https://r-causal.github.io/deli/
BugReports: https://github.com/r-causal/deli/issues
Depends: R (>= 4.3)
Imports: cli, generics, rlang (>= 1.0.0), rootSolve, S7 (>= 0.2.0), stats
Suggests: causaldata, jsonlite, knitr, MASS, minpack.lm, nleqslv, nlme, quarto, readxl, rmarkdown, testthat (>= 3.0.0), yaml
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-08-21 08:13:57 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre, cph] , Paul Zivich [ctb]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-28 09:40:02 UTC

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Package deepspat updated to version 0.3.2 with previous version 0.3.1 dated 2025-11-25

Title: Deep Compositional Spatial Models
Description: Deep compositional spatial models are standard spatial covariance models coupled with an injective warping function of the spatial domain. The warping function is constructed through a composition of multiple elemental injective functions in a deep-learning framework. The package implements two cases for the univariate setting; first, when these warping functions are known up to some weights that need to be estimated, and, second, when the weights in each layer are random. In the multivariate setting only the former case is available. Estimation and inference is done using `tensorflow`, which makes use of graphics processing units. For more details see Zammit-Mangion et al. (2022) <doi:10.1080/01621459.2021.1887741>, Vu et al. (2022) <doi:10.5705/ss.202020.0156>, Vu et al. (2023) <doi:10.1016/j.spasta.2023.100742>, and Shao et al. (2025) <doi:10.48550/arXiv.2505.12548>.
Author: Andrew Zammit-Mangion [aut], Quan Vu [aut, cre], Xuanjie Shao [aut]
Maintainer: Quan Vu <quanvustats@gmail.com>

Diff between deepspat versions 0.3.1 dated 2025-11-25 and 0.3.2 dated 2026-08-28

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Package bayess readmission to version 1.7 with previous version 1.6 dated 2024-03-06

Title: Bayesian Essentials with R
Description: Allows the reenactment of the R programs used in the book Bayesian Essentials with R without further programming. R code being available as well, they can be modified by the user to conduct one's own simulations. Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.
Author: Jean-Michel Marin [aut, cre], Christian P. Robert [aut]
Maintainer: Jean-Michel Marin <jean-michel.marin@umontpellier.fr>

This is a re-admission after prior archival of version 1.6 dated 2024-03-06

Diff between bayess versions 1.6 dated 2024-03-06 and 1.7 dated 2026-08-28

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Package VizTest updated to version 0.8 with previous version 0.7 dated 2026-03-03

Title: Optimal Confidence Intervals for Visual Testing
Description: Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.
Author: Dave Armstrong [aut, cre] , William Poirier [aut]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>

Diff between VizTest versions 0.7 dated 2026-03-03 and 0.8 dated 2026-08-28

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Package Rmixmod updated to version 2.1.12 with previous version 2.1.10 dated 2023-12-13

Title: Classification with Mixture Modelling
Description: Interface of 'MIXMOD' software for supervised, unsupervised and semi-supervised classification with mixture modelling <doi: 10.18637/jss.v067.i06>.
Author: Florent Langrognet [aut], Remi Lebret [aut], Christian Poli [aut], Serge Iovleff [aut], Benjamin Auder [aut], Parmeet Bhatia [ctb], Anwuli Echenim [ctb], Christophe Biernacki [ctb], Gilles Celeux [ctb], Gerard Govaert [ctb], Julien Schueller [ctb], Q [...truncated...]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

Diff between Rmixmod versions 2.1.10 dated 2023-12-13 and 2.1.12 dated 2026-08-28

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Package lares updated to version 5.4.1 with previous version 5.4.0 dated 2026-04-23

Title: Lean Analytics and Robust Exploration Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.4.0 dated 2026-04-23 and 5.4.1 dated 2026-08-28

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Package directlabels updated to version 2026.8.27 with previous version 2026.4.23 dated 2026-04-23

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package cloudosR updated to version 0.2.4 with previous version 0.2.0 dated 2026-06-01

Title: 'Lifebit' Platform 'API' Client
Description: Interacts with the 'Lifebit' Platform Cohort Browser 'API' <https://cloudos.lifebit.ai>. Enables schema discovery, table exploration, and read-only 'SQL' query execution with policy-aware behavior and team-based access control for cohort data analysis. Requires bastion-enabled workspaces for 'API' access.
Author: Leila Mansouri [aut, cre]
Maintainer: Leila Mansouri <leila.mansouri@lifebit.ai>

Diff between cloudosR versions 0.2.0 dated 2026-06-01 and 0.2.4 dated 2026-08-28

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Package climniche updated to version 0.3.8 with previous version 0.0.1 dated 2026-05-29

Title: Climate Exposure Relative to a Species' Climatic Niche
Description: Quantifies projected climatic change relative to the climatic niche represented by a species' current distribution. A weighted current reference defines the niche centre and empirical radial boundary. Present and projected conditions at each location give local climatic displacement, signed change in niche distance, a derived non-radial reconfiguration term, and exceedance beyond the niche boundary. Occurrence records, range maps, and binary or continuous species distribution model outputs can define reference weights. Matrix and spatial workflows return location-level values, weighted summaries, maps and climatic-variable contributions.
Author: Bohao He [aut, cre]
Maintainer: Bohao He <bohao.he@polimi.it>

Diff between climniche versions 0.0.1 dated 2026-05-29 and 0.3.8 dated 2026-08-28

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 climniche-0.3.8/climniche/MD5                                                                             |  175 +-
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Package WeightedROC updated to version 2026.8.27 with previous version 2020.1.31 dated 2020-02-01

Title: Fast, Weighted ROC Curves
Description: Fast computation of Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) for weighted binary classification problems (weights are example-specific cost values).
Author: Toby Dylan Hocking [cre, aut]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package tongfen updated to version 0.3.8 with previous version 0.3.7 dated 2026-06-05

Title: Make Data Based on Different Geographies Comparable
Description: Several functions to allow comparisons of data across different geographies, in particular for Canadian census data from different censuses.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package tidylda updated to version 0.1.0 with previous version 0.0.7 dated 2025-11-14

Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et al. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via 'warpLDA', a Metropolis-Hastings sampler, Chen et al. (2016) <doi:10.48550/arXiv.1510.08628>. Also implements several novel features for LDA such as guided models and transfer learning.
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

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Package stablelearner updated to version 0.1-9 with previous version 0.1-8 dated 2026-07-30

Title: Stability Assessment of Statistical Learning Methods
Description: Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
Author: Michel Philipp [aut], Carolin Strobl [aut] , Achim Zeileis [aut, cre] , Thomas Rusch [aut] , Kurt Hornik [aut] , Lennart Schneider [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package sixtyfour updated to version 0.2.4 with previous version 0.2.0 dated 2025-03-31

Title: Humane Interface to Amazon Web Services
Description: An opinionated interface to Amazon Web Services <https://aws.amazon.com>, with functions for interacting with 'IAM' (Identity and Access Management), 'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift, and Billing. Lower level functions ('aws_' prefix) are for do it yourself workflows, while higher level functions ('six_' prefix) automate common tasks.
Author: Sean Kross [aut], Scott Chamberlain [aut, cre] , Fred Hutchinson Cancer Center [fnd]
Maintainer: Scott Chamberlain <sachamber@fredhutch.org>

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More information about sixtyfour at CRAN
Permanent link

Package SEQTaRget updated to version 1.4.4 with previous version 1.4.3 dated 2026-06-23

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Tom Palmer [aut] , Paul Madley-Dowd [aut] , Alejandro Szmulewicz [aut] , Miguel A. Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

Diff between SEQTaRget versions 1.4.3 dated 2026-06-23 and 1.4.4 dated 2026-08-28

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Permanent link

Package runExamplesWrapper updated to version 2.0 with previous version 1.1 dated 2026-01-16

Title: Wrapper for 'run_example()'
Description: Captures errors or missing examples encountered when iteratively running 'run_examplez()', and archives them.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

Diff between runExamplesWrapper versions 1.1 dated 2026-01-16 and 2.0 dated 2026-08-28

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Package rquest updated to version 1.1.0 with previous version 1.0.5 dated 2025-06-11

Title: Hypothesis Tests for Quantiles and Quantile-Based Measures
Description: Functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.
Author: Shenal Dedduwakumara [aut, cre], Luke Prendergast [aut], Robert Staudte [aut]
Maintainer: Shenal Dedduwakumara <shenal.dedduwakumara@adelaide.edu.au>

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Package randomForestRHF updated to version 2.0.0 with previous version 1.0.1 dated 2026-04-28

Title: Random Hazard Forests
Description: Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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More information about randomForestRHF at CRAN
Permanent link

Package proporz updated to version 1.5.3 with previous version 1.5.2 dated 2025-10-10

Title: Proportional Apportionment
Description: Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.
Author: Flavio Poletti [aut, cre, cph]
Maintainer: Flavio Poletti <flavio.poletti@hotmail.ch>

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Package pagedown updated to version 0.25 with previous version 0.24 dated 2026-04-09

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] , Romain Lesur [aut, cph] , Christophe Dervieux [ctb] , Brent Thorne [aut] , Xianying Tan [aut] , Atsushi Yasumoto [ctb] , Posit Software, PBC [cph, fnd], Adam Hyde [ctb] , Min-Zhong Lu [ctb] , Zulko [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package IBclust updated to version 1.5 with previous version 1.4 dated 2026-07-14

Title: Information Bottleneck Methods for Clustering Mixed-Type Data
Description: Implements multiple variants of the Information Bottleneck ('IB') method for clustering datasets containing continuous, categorical (nominal/ordinal) and mixed-type variables. The package provides deterministic, agglomerative, generalised, sequential, and standard IB clustering algorithms that preserve relevant information while forming interpretable clusters. The Deterministic Information Bottleneck is described in Costa et al. (2026) <doi:10.1016/j.patcog.2026.113580>. The standard IB method originates from Tishby et al. (2000) <doi:10.48550/arXiv.physics/0004057>, the agglomerative variant from Slonim and Tishby (1999) <https://papers.nips.cc/paper/1651-agglomerative-information-bottleneck>, the generalised IB from Strouse and Schwab (2017) <doi:10.1162/NECO_a_00961>, and the sequential IB from Slonim et al. (2002) <doi:10.1145/564376.564401>. Diagnostic and plotting functions are provided to summarise, visualise, and predict from the resulting clusteri [...truncated...]
Author: Angelos Markos [aut, cre], Efthymios Costa [aut], Ioanna Papatsouma [aut]
Maintainer: Angelos Markos <amarkos@gmail.com>

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Package forestly updated to version 0.1.6 with previous version 0.1.5 dated 2026-06-12

Title: Interactive Forest Plot
Description: Interactive forest plot for clinical trial safety analysis using 'metalite', 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes functionality for adverse event filtering, incidence-based group filtering, hover-over reveals, and search and sort operations. The workflow allows for metadata construction, data preparation, output formatting, and interactive plot generation.
Author: Yilong Zhang [aut], Benjamin Wang [aut], Yujie Zhao [aut, cre], Nan Xiao [ctb], Hiroaki Fukuda [aut], Yulia Sidi [ctb], Xuan Deng [ctb], Jeetener Chauhan [ctb], Li Ma [ctb], Chen Wang [ctb], Madhusudhan Ginnaram [ctb], Merck & Co., Inc., Rahway, NJ, [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

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Package fdm2id updated to version 1.0.0 with previous version 0.9.9 dated 2023-06-12

Title: Data Mining and R Programming for Beginners
Description: Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".
Author: Alexandre Blansche [aut, cre]
Maintainer: Alexandre Blansche <alexandre.blansche@univ-lorraine.fr>

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Package dosr updated to version 0.3.6 with previous version 0.3.4 dated 2026-07-06

Title: Survey Analysis Tools for the Chilean Social Observatory
Description: Provides high-level functions to compute estimates (means, proportions, totals, ratios and quantiles) for complex survey designs, with automatic classification of statistical reliability, between-year significance tests and standardised report generation in 'Excel' format (via 'openxlsx'). It was developed for the Social Observatory ('Observatorio Social') of the Chilean Ministry of Social Development and implements its data-quality criteria, but it can be applied to any complex-survey design (for example the Chilean 'CASEN' household survey, included as example data). The reliability criteria follow Division Observatorio Social (2023) <https://bidat.gob.cl/details/ficha/dato/manual-para-la-investigacion-casen-2022> and Instituto Nacional de Estadisticas (2020) <https://www.ine.gob.cl/inicio/documentos-de-trabajo/documento/fundamentos-del-est%C3%A1ndar-para-la-evaluaci%C3%B3n-de-la-calidad-de-las-estimaciones-en-encuestas-de-hogares>; complex-survey estimation methods follo [...truncated...]
Author: Gabriel Sotomayor [aut, cre]
Maintainer: Gabriel Sotomayor <gabrielsotomayorl@gmail.com>

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Package conStruct updated to version 1.0.7 with previous version 1.0.6 dated 2024-01-08

Title: Models Spatially Continuous and Discrete Population Genetic Structure
Description: A method for modeling genetic data as a combination of discrete layers, within each of which relatedness may decay continuously with geographic distance. This package contains code for running analyses (which are implemented in the modeling language 'rstan') and visualizing and interpreting output. See the paper for more details on the model and its utility.
Author: Gideon Bradburd [aut, cre]
Maintainer: Gideon Bradburd <bradburd@umich.edu>

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Package chessResults updated to version 2026.08.27 with previous version 2026.07.05 dated 2026-07-11

Title: Scraper for Chess-Results.com
Description: Scrape data from <https://chess-results.com> and get a clean 'tibble'. Currently supports tournament information, starting rank, playing schedule, pairings/results for rounds, and closing rank.
Author: Sirf Haru [aut, cre, cph]
Maintainer: Sirf Haru <sirfharu@proton.me>

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Package cataScience updated to version 2.1.3 with previous version 2.1.2 dated 2026-07-30

Title: Interactive Training App for Data Science and AI Skills
Description: An interactive 'shiny' training companion for people who are new to data, developed for World Health Organization data trainings. Bundles hands-on modules for importing data, missing values, outliers, text cleaning, merging, visualization, and basic statistics, plus a set of AI-skills pages (prompting levels, a prompt gallery, AI safety rules, and a methodology case study) and an interactive quiz with per-session topic filters. Launch the app with run_cata().
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

Diff between cataScience versions 2.1.2 dated 2026-07-30 and 2.1.3 dated 2026-08-28

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Package bootsurv updated to version 0.1.0 with previous version 0.0.1 dated 2024-05-17

Title: Bootstrap Methods for Complete Survey Data
Description: Bootstrap resampling methods have been widely studied in the context of survey data. This package implements various bootstrap resampling techniques tailored for survey data, with a focus on stratified simple random sampling and stratified two-stage cluster sampling. It provides tools for precise and consistent bootstrap variance estimation for population totals, means, and quartiles. Additionally, it enables easy generation of bootstrap samples for in-depth analysis.
Author: Zeinab Mashreghi [aut, cre]
Maintainer: Zeinab Mashreghi <z.mashreghi@uwinnipeg.ca>

Diff between bootsurv versions 0.0.1 dated 2024-05-17 and 0.1.0 dated 2026-08-28

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Package awsMethods updated to version 1.1-2 with previous version 1.1-1 dated 2019-05-08

Title: Class and Methods Definitions for Packages 'aws', 'adimpro', 'fmri', 'dwi'
Description: Defines the method extract and provides 'openMP' support as needed in several packages.
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>

Diff between awsMethods versions 1.1-1 dated 2019-05-08 and 1.1-2 dated 2026-08-28

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Thu, 27 Aug 2026

Package oddsapiR updated to version 1.0.1 with previous version 1.0.0 dated 2026-08-24

Title: Access Live Sports Odds from the Odds API
Description: A utility to quickly obtain clean and tidy sports odds from The Odds API <https://the-odds-api.com>. Provides wrappers for every version 4 endpoint -- featured-market and single-event odds (including player props and alternate lines), historical odds snapshots, scores, events, participants, and usage-quota reporting -- returning tidy tibbles ready for analysis.
Author: Saiem Gilani [aut, cre, cph]
Maintainer: Saiem Gilani <saiem.gilani@gmail.com>

Diff between oddsapiR versions 1.0.0 dated 2026-08-24 and 1.0.1 dated 2026-08-27

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Package nlist updated to version 0.5.0 with previous version 0.4.0 dated 2025-05-11

Title: Lists of Numeric Atomic Objects
Description: Create and manipulate numeric list ('nlist') objects. An 'nlist' is an S3 list of uniquely named numeric objects. An numeric object is an integer or double vector, matrix or array. An 'nlists' object is a S3 class list of 'nlist' objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.
Author: Joe Thorley [aut, cre] , Kirill Mueller [ctb] , Nadine Hussein [ctb] , Ayla Pearson [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between nlist versions 0.4.0 dated 2025-05-11 and 0.5.0 dated 2026-08-27

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Package crossfit updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-04

Title: A Graph-Based Cross-Fitting Engine in R
Description: Provides a general cross-fitting engine for semiparametric estimation (e.g., double/debiased machine learning). Supports user-defined target functionals and directed acyclic graphs of nuisance learners with per-node training fold widths, target-specific evaluation windows, and fold-allocation modes ("overlap", "disjoint", "independence"). Returns either numeric estimates (mode = "estimate") or cross-fitted prediction functions (mode = "predict"), with configurable aggregation over panels and repetitions, reuse-aware caching, and failure isolation, making it well-suited for simulation studies and large benchmarks.
Author: Etienne Peyrot [aut, cre]
Maintainer: Etienne Peyrot <etienne.peyrot@inserm.fr>

Diff between crossfit versions 0.1.3 dated 2026-03-04 and 0.1.4 dated 2026-08-27

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Package boa updated to version 1.1.9 with previous version 1.1.8-2 dated 2016-06-22

Title: Bayesian Output Analysis Program (BOA) for MCMC
Description: A menu-driven program and library of functions for carrying out convergence diagnostics and statistical and graphical analysis of Markov chain Monte Carlo sampling output.
Author: Brian J. Smith [aut, cre]
Maintainer: Brian J. Smith <brian-j-smith@uiowa.edu>

Diff between boa versions 1.1.8-2 dated 2016-06-22 and 1.1.9 dated 2026-08-27

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Package typetracer updated to version 0.2.5 with previous version 0.2.4 dated 2026-07-30

Title: Trace Function Parameter Types
Description: The 'R' language includes a set of defined types, but the language itself is "absurdly dynamic" (Turcotte & Vitek (2019) <doi:10.1145/3340670.3342426>), and lacks any way to specify which types are expected by any expression. The 'typetracer' package enables code to be traced to extract detailed information on the properties of parameters passed to 'R' functions. 'typetracer' can trace individual functions or entire packages.
Author: Mark Padgham [aut, cre] , Filip Krikava [ctb] , Antoine Soetewey [ctb] , covr authors [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Permanent link

Package MR.RGM updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-22

Title: Fitting Multivariate Bidirectional Mendelian Randomization Networks Using Bayesian Directed Cyclic Graphical Models
Description: Addressing a central challenge encountered in Mendelian randomization (MR) studies, where MR primarily focuses on discerning the effects of individual exposures on specific outcomes and establishes causal links between them. Using a network-based methodology, the intricacy involving interdependent outcomes due to numerous factors has been tackled through this routine. Based on Ni et al. (2018) <doi:10.1214/17-BA1087>, 'MR.RGM' extends to a broader exploration of the causal landscape by leveraging on network structures and involves the construction of causal graphs that capture interactions between response variables and consequently between responses and instrument variables. The resulting Graph visually represents these causal connections, showing directed edges with effect sizes labeled. 'MR.RGM' facilitates the navigation of various data availability scenarios effectively by accommodating three input formats, i.e., individual-level data and two types of summary-level data. The [...truncated...]
Author: Bitan Sarkar [aut, cre], Yang Ni [aut]
Maintainer: Bitan Sarkar <bitansarkar010899@gmail.com>

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Package GMLTM updated to version 2.0.0 with previous version 0.1.0 dated 2026-06-30

Title: Generalized Multicomponent Latent Trait Model for Diagnosis
Description: Provides Bayesian estimation of Item Response Theory models that decompose item difficulty into cognitive operations or rules. Implements the Linear Logistic Test Model (LLTM; Fischer (1973) <doi:10.1016/0001-6918(73)90003-6>), the Multicomponent Latent Trait Model for Diagnosis (MLTM-D; Embretson and Yang (2013) <doi:10.1007/s11336-012-9296-y>), and the Generalized Multicomponent Latent Trait Model for Diagnosis (GMLTM-D; Ramirez et al. (2024) <doi:10.3390/jintelligence12070067>), including a variant with correlated latent components. All models are estimated via Hamiltonian Monte Carlo using 'Stan' through the 'rstan' interface. Includes tools for prior predictive checks (Gelman et al., 2020), model validation, conditional reliability estimation, examinee mastery classification following Embretson (2019) <doi:10.1007/978-3-030-05584-4_9>, and individual diagnostic reports at the rule and component level. Supports user-defined prior distributions for all model [...truncated...]
Author: Eduar Ramirez [aut, cre], Marcos Jimenez [aut], Vithor R. Franco [aut], Jesus Alvarado [aut]
Maintainer: Eduar Ramirez <edrami02@ucm.es>

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Package vrpr updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-04

Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorim [aut], Diogo Bezerra [aut], Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package OmopSketch updated to version 1.1.1 with previous version 1.1.0 dated 2026-06-16

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package llamaR updated to version 0.2.6 with previous version 0.2.5 dated 2026-07-02

Title: Interface for Large Language Models via 'llama.cpp'
Description: Provides R bindings to 'llama.cpp' for running large language models locally, with optional GPU acceleration via 'ggmlR'. Supports text generation, embeddings, chat-based workflows, tool calling, and multimodal (vision) inference. Includes 'OpenAI'- and 'Anthropic'-compatible HTTP servers for serving local models, along with device selection and multi-GPU support.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package drogonR updated to version 0.1.9 with previous version 0.1.8 dated 2026-07-04

Title: High-Performance HTTP Server for R via 'Drogon'
Description: Provides an 'R' interface to the 'Drogon' high-performance 'C++' 'HTTP' server framework (<https://github.com/drogonframework/drogon>). Offers a 'plumber'-style application programming interface for building 'REST' services from 'R' with substantially higher throughput, including streaming responses and full-duplex 'WebSocket' endpoints.
Author: Yuri Baramykov [aut, cre] , An Tao [ctb, cph] , Shuo Chen [ctb, cph] , Baptiste Lepilleur [ctb, cph] , Christopher Dunn [ctb] , JsonCpp Contributors [ctb, cph] , Bert Belder [ctb, cph] ), mman-win32 contributors [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package dawaR updated to version 0.3.3 with previous version 0.3.2 dated 2025-12-16

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph] , Agency of Climate Data [ctb]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

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Package prrd updated to version 0.0.7 with previous version 0.0.6 dated 2024-03-06

Title: Parallel Runs of Reverse Depends
Description: Reverse depends for a given package are queued such that multiple workers can run the reverse-dependency tests in parallel.
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package ncar updated to version 0.7.1 with previous version 0.7.0 dated 2026-07-20

Title: Noncompartmental Analysis for Pharmacokinetic Report
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method 5) Produce pdf, rtf, text report files. 6) Produce Installation and Operational Qualification (IQ/OQ) reports in pdf. After installation, qualify the package in your own environment: run pdfIQ() for Installation Qualification and pdfOQ() for Operational Qualification. Run writeMD5() once after installation so the IQ file-integrity check passes. To approve a report, sign it digitally in Adobe Acrobat Reader (generate with sigField=TRUE, or run addSigField(), to add click-to-sign fields), instead of printing and scanning; or use signPDF()/verifyPDF() for a scriptable signature. * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (I [...truncated...]
Author: Kyun-Seop Bae [aut, cre], Michael E. Schaffer [ctb, cph]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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New package MultiSEp with initial version 4.1.3
Package: MultiSEp
Title: Predict Synthetic Lethality and Other Gene Dependency Relationships from Multiomics Data
Version: 4.1.3
BuildVignettes: TRUE
Description: Predicts gene dependency relationships (GDRs) from functional genomics data. Regularised Gaussian mixture modelling may be applied for unsupervised clustering in addition to other data partitioning strategies. GDR analysis tools include discovery of synthetic lethal relationships and predicting population coverage for candidate drug targets from cancer patient mutational profiles. Functionality for visualisation is also available. 'MultiSEp' is applicable to data from a variety of sources including clinical cohorts, organoids and cell lines.
License: LGPL-2.1
Depends: R (>= 3.5.0)
Imports: pracma, pbapply, pbmcapply, reshape2, ggplot2, gtools, testthat, igraph, grid, patchwork, scales
Encoding: UTF-8
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
VignetteBuilder: knitr, rmarkdown
Suggests: rmarkdown, kableExtra, magrittr, knitr, dplyr
Language: en-GB
Packaged: 2026-08-20 23:43:29 UTC; ianover
Author: Adeline McKie [aut], Mark Wappett [aut], Ian Overton [aut, cre]
Maintainer: Ian Overton <i.overton@qub.ac.uk>
Repository: CRAN
Date/Publication: 2026-08-27 10:30:02 UTC

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New package lasars with initial version 0.1.1
Package: lasars
Title: Explore Response Style in Survey Responding
Version: 0.1.1
Description: Provides tools to fit the latent state and response style ('lasars') model to survey data using either Particle Metropolis within Gibbs ('pmwg') or maximum likelihood estimation. The package facilitates estimation of less-biased latent state and psychologically interpretable response style parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: purrr, pmwg, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-08-21 05:20:20 UTC; jkg582
Author: Jess Grimmond [aut, cre], Guy Hawkins [aut], Scott Brown [aut], Quentin Gronau [aut]
Maintainer: Jess Grimmond <jess.grimmond@newcastle.edu.au>
Repository: CRAN
Date/Publication: 2026-08-27 10:10:02 UTC

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New package ExpDesignR with initial version 0.1.0
Package: ExpDesignR
Title: Experimental Design and Randomization Methods for Biomedical and Veterinary Research
Version: 0.1.0
Description: Generates randomized experimental designs for biomedical, veterinary, agricultural, and clinical research, including simple, block, stratified, and cluster randomization, Latin square and crossover designs, allocation summaries, schedule export, and visualization of treatment allocations. The methods are based on established principles of randomization and experimental design; see Rosenberger and Lachin (2015, ISBN:9781118742242) and Jones and Kenward (2014, ISBN:9781439861424).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats, utils, tibble, dplyr, ggplot2, rlang
Suggests: testthat (>= 3.0.0), covr, spelling, knitr, rmarkdown
URL: https://github.com/vinodhpmd/ExpDesignR
BugReports: https://github.com/vinodhpmd/ExpDesignR/issues
Language: en-US
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2026-08-21 07:53:39 UTC; m
Author: Vinodhkumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]
Maintainer: Vinodhkumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-27 10:30:08 UTC

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Package crch updated to version 1.2-3 with previous version 1.2-2 dated 2025-03-14

Title: Censored Regression with Conditional Heteroscedasticity
Description: Different approaches to censored or truncated regression with conditional heteroscedasticity are provided. First, continuous distributions can be used for the (right and/or left censored or truncated) response with separate linear predictors for the mean and variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data) can be employed for heteroscedastic extended logistic regression (HXLR). In the latter type of models, the intercepts depend on the thresholds that define the intervals. Infrastructure for working with censored or truncated normal, logistic, and Student-t distributions, i.e., d/p/q/r functions and distributions3 objects.
Author: Achim Zeileis [aut, cre] , Jakob W. Messner [aut] , Reto Stauffer [aut] , Ioannis Kosmidis [ctb] , Georg J. Mayr [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package pROC updated to version 1.19.1 with previous version 1.19.0.1 dated 2025-07-31

Title: Display and Analyze ROC Curves
Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Author: Xavier Robin [cre, aut] , Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frederique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Mueller [aut], Stefan Siegert [ctb] , Matthias Doering [ctb] , Zane Billings [ctb]
Maintainer: Xavier Robin <pROC-cran@xavamail.net>

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New package ORCI.Welch with initial version 0.1.1
Package: ORCI.Welch
Title: Approximate Odds Ratio Confidence Intervals with Welch's Adjustments
Version: 0.1.1
Author: Cosette Clinton [aut], McKenna Morgan [ctb], Kimihiro Noguchi [aut, cre]
Maintainer: Kimihiro Noguchi <kimihiro.noguchi@wwu.edu>
Description: Calculates approximate odds ratio confidence intervals with Welch's adjustments for a given dataset and ranks different odds ratio confidence intervals in terms of multiple metrics based on the dataset given. References for Welch's adjustments can be found at Pan (2002) <doi:10.1016/S0167-9473(01)00107-4> and Clinton, Morgan, and Noguchi (2026) <https://meetings.ams.org/math/jmm2026/meetingapp.cgi/Paper/58471>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: graphics
NeedsCompilation: no
Packaged: 2026-08-21 05:10:42 UTC; main
Repository: CRAN
Date/Publication: 2026-08-27 10:00:12 UTC

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Package SQMtools updated to version 1.8.1 with previous version 1.8.0 dated 2026-06-11

Title: Analyze Results Generated by the 'SqueezeMeta' Pipeline
Description: 'SqueezeMeta' is a versatile pipeline for the automated analysis of metagenomics/metatranscriptomics data (<https://github.com/jtamames/SqueezeMeta>). This package provides functions loading 'SqueezeMeta' results into R, filtering them based on different criteria, and visualizing the results using basic plots. The 'SqueezeMeta' project (and any subsets of it generated by the different filtering functions) is parsed into a single object, whose different components (e.g. tables with the taxonomic or functional composition across samples, contig/gene abundance profiles) can be easily analyzed using other R packages such as 'vegan' or 'DESeq2'. The methods in this package are further described in Puente-Sánchez et al., (2020) <doi:10.1186/s12859-020-03703-2>.
Author: Fernando Puente-Sanchez [aut, cre], Natalia Garcia-Garcia [aut]
Maintainer: Fernando Puente-Sanchez <fernando.puente.sanchez@slu.se>

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Package PGM2 updated to version 2.0.1 with previous version 2.0.0 dated 2026-07-30

Title: Recursive Construction of Nested Resolvable Designs and Associated Uniform Designs over GF(p)
Description: Recursive construction of balanced incomplete block designs (BIBDs), their successive generations, resolvable BIBDs (RBIBDs) and associated uniform designs (UDs), derived from finite projective geometries PG(m, p) over a Galois field GF(p) of any prime order p. Implements and generalises the method of Boudraa, Gheribi-Aoulmi and Laib (2013, International Journal of Research and Reviews in Applied Sciences, 17(2), 167-176), which was previously available only for p = 2, and the uniform design constructions of Fang et al. (2004) <doi:10.1016/S0012-365X(03)00100-6>. Designs of every recursion stage can be extracted, and all constructions are validated against the parameters published in the original paper.
Author: Mohamed Laib [aut, cre], Abla Boudraa [aut], Zebida Gheribi-Aoulmi [aut]
Maintainer: Mohamed Laib <laib.med@gmail.com>

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Package normref updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-10

Title: Continuous Norming
Description: A toolbox for continuous norming of psychological and educational tests, supporting regression-based norming where norms can vary as a continuous function of age or another norm predictor. Norms are estimated using Generalized Additive Models for Location, Scale, and Shape (GAMLSS), enabling flexible modelling of the full score distribution in a normative sample. The package supports applications in psychometrics and psychological testing, and includes functions for model selection, reliability estimation, norm calculation, including confidence intervals, and sample size planning. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.
Author: Klazien de Vries [aut] , Hannah Heister [aut] , Julian Urban [aut] , Lieke Voncken [ctb] , Marieke Timmerman [aut, cre]
Maintainer: Marieke Timmerman <m.e.timmerman@rug.nl>

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Package giscoR updated to version 1.2.0 with previous version 1.1.1 dated 2026-06-17

Title: Download 'Eurostat' 'GISCO' Spatial Data
Description: Tools to download global and European spatial data from the 'Eurostat' 'GISCO' (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for country boundaries, 'NUTS' regions, administrative units, statistical units, transport networks, basic service locations and other 'GISCO' datasets. This package is not officially related to or endorsed by 'Eurostat'.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package scryr (with last version 1.0.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-01-28 1.0.0

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Package zoomerjoin updated to version 0.2.4 with previous version 0.2.3 dated 2026-03-14

Title: Superlatively Fast Fuzzy Joins
Description: Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage. The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
Author: Beniamino Green [aut, cre, cph], Etienne Bacher [ctb] , The authors of the dependency Rust crates [ctb, cph]
Maintainer: Beniamino Green <beniamino.green@yale.edu>

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Package schoolmath updated to version 0.5.1 with previous version 0.5.0 dated 2026-07-07

Title: Functions and Datasets for Math Used in School
Description: Contains functions for math taught in school. A main focus is set to prime-calculation. The package also contains a dataset of all primes between 1 and 99,999,999.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package RuHere updated to version 1.1.0 with previous version 1.0.1 dated 2026-02-17

Title: Flags Spatial Errors in Biological Collection Data Using Specialists' Information
Description: Automatically flags common spatial errors in biological collection data using metadata and specialists' information. RuHere implements a workflow to manage occurrence data through six steps: dataset merging, metadata flagging, validation against expert-derived distribution maps, visualization of flagged records, and sampling bias exploration. It specifically integrates specialist-curated range information to identify geographic errors and introductions that often escape standard automated validation procedures. For details on the methodology, see: Trindade & Caron (2026) <doi:10.64898/2026.02.02.703373>.
Author: Weverton C. F. Trindade [aut, cre] , Fernanda S. Caron [aut]
Maintainer: Weverton C. F. Trindade <wevertonf1993@gmail.com>

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Package RcppParallel updated to version 6.2.1 with previous version 6.2.0 dated 2026-07-30

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: Kevin Ushey [aut, cre] , JJ Allaire [aut], Romain Francois [aut, cph], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Dirk Eddelbuettel [aut] , Intel [aut, cph] , UXL Foundation [aut, cph] , Microsoft [cph], Posit, PB [...truncated...]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package randomizr updated to version 2.0.1 with previous version 1.0.1 dated 2026-02-02

Title: Easy-to-Use Tools for Common Forms of Random Assignment and Sampling
Description: Generates random assignments for common experimental designs and random samples for common sampling designs.
Author: Alexander Coppock [aut, cre] , Jasper Cooper [ctb] , Neal Fultz [ctb] , Graeme Blair [ctb] , Macartan Humphreys [ctb]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package PanelSelect updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-25

Title: Panel Sample Selection Models
Description: Extends the Heckman selection framework to panel data with individual random effects. The first stage models participation via a panel Probit specification, while the second stage can take a panel linear, Probit, Poisson, or Poisson log-normal form. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package fastglm updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-07

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package CDMConnector updated to version 2.7.0 with previous version 2.6.0 dated 2026-06-16

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Ger Inberg [aut, cre] , Adam Black [aut] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut], Ioanna Nika [aut]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package DSIR (with last version 0.8.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-07-02 0.8.0
2026-05-23 0.7.1
2026-05-21 0.7.0
2026-04-21 0.2.0

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Package filibustr (with last version 0.5.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-04-06 0.5.2
2025-12-05 0.5.1
2025-10-26 0.5.0
2025-08-19 0.4.1
2025-05-11 0.4.0
2025-03-31 0.3.0
2024-05-02 0.2.1
2024-03-01 0.2.0
2024-02-13 0.1.1

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Package confidenceCurves updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-01

Title: Frequentist Confidence Analysis for Clinical Trials
Description: Frequentist confidence analysis answers the question: How confident are we in a particular treatment effect? This package calculates the frequentist confidence in a treatment effect of interest given observed data, and returns the family of confidence curves associated with that data.
Author: Freda Werdiger [aut, cre]
Maintainer: Freda Werdiger <freda.werdiger@unimelb.edu.au>

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Wed, 26 Aug 2026

Package fitPS updated to version 1.1.4 with previous version 1.0.6 dated 2026-06-10

Title: Fit Probability Models to Forensic Survey Data
Description: Fits probability models to P- and S-type count data arising from forensic surveys of clothing for the background presence of glass, paint, and related trace material. Built-in models include zeta, zero-inflated zeta, and logarithmic distributions, with a public extension interface for additional models. Inference is available by maximum likelihood, parametric Bayesian methods, the ordinary nonparametric bootstrap, and Rubin's Bayesian Bootstrap. The clothing-survey setting is described by Coulson, Buckleton, Gummer, and Triggs (2001) <doi:10.1016/S1355-0306(01)71847-3>.
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package finnts updated to version 0.7.0 with previous version 0.6.0 dated 2025-09-04

Title: Microsoft Finance Time Series Forecasting Framework
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>

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Package LLMing updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-27

Title: Large Language Model (LLM) Tools for Psychological Text Analysis
Description: A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) and a text generation method. <doi:10.1016/j.ress.2015.05.025>.
Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]
Maintainer: Lindley Slipetz <ddj6tu@virginia.edu>

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Package graphicalMCP updated to version 0.3.0 with previous version 0.2.9 dated 2026-03-21

Title: Graphical Multiple Comparison Procedures
Description: Multiple comparison procedures (MCPs) control the familywise error rate in clinical trials. Graphical MCPs include many commonly used procedures as special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017) <doi:10.1002/bimj.201600233>. This package is a low-dependency implementation of graphical MCPs which allow mixed types of tests. It also includes power simulations and visualization of graphical MCPs.
Author: Dong Xi [aut, cre], Ethan Brockmann [aut], Gilead Sciences, Inc. [cph, fnd]
Maintainer: Dong Xi <dong.xi1@gilead.com>

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Package FLSSS updated to version 9.2.9 with previous version 9.2.8 dated 2025-06-22

Title: Mining Rigs for Problems in the Subset Sum Family
Description: Specialized solvers for combinatorial optimization problems in the Subset Sum family. The solvers differ from the mainstream in the options of (i) restricting subset size, (ii) bounding subset elements, (iii) mining real-value multisets with predefined subset sum errors, (iv) finding one or more subsets in limited time. A novel algorithm for mining the one-dimensional Subset Sum induced algorithms for the multi-Subset Sum and the multidimensional Subset Sum. The multi-threaded framework for the latter offers exact algorithms to the multidimensional Knapsack and the Generalized Assignment problems. Historical updates include (a) renewed implementation of the multi-Subset Sum, multidimensional Knapsack and Generalized Assignment solvers; (b) availability of bounding solution space in the multidimensional Subset Sum; (c) fundamental data structure and architectural changes for enhanced cache locality and better chance of SIMD vectorization; (d) option of mapping floating-point instance to [...truncated...]
Author: Charlie Wusuo Liu [aut, cre]
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>

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Package bluertopo updated to version 0.0.2 with previous version 0.0.1 dated 2026-08-04

Title: Download and Extract BlueTopo Bathymetry with Terra
Description: Discovers, downloads, verifies, and opens bathymetry assets from the National Oceanic and Atmospheric Administration (NOAA) BlueTopo product for user supplied areas of interest. The package keeps source files intact by default, uses 'terra' for spatial data access, supports explicit native-resolution selection policies, and records provenance for reproducible extraction workflows. It accesses the NOAA BlueTopo web service at <https://noaa-ocs-nationalbathymetry-pds.s3.amazonaws.com/> and references product documentation at <https://nauticalcharts.noaa.gov/data/bluetopo.html>.
Author: Elvin Cordero [aut, cre, cph]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>

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Package DataSpaceR updated to version 1.0.2 with previous version 1.0.1 dated 2026-08-04

Title: Interface to 'the CAVD DataSpace'
Description: Provides a convenient API interface to access immunological data within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery tool that facilitates exploration of HIV immunological data from pre-clinical and clinical HIV vaccine studies.
Author: Ju Yeong Kim [aut], Sean Hughes [rev], Jason Taylor [aut, cre], Helen Miller [aut], Kellie MacPhee [rev], CAVD DataSpace [cph]
Maintainer: Jason Taylor <jmtaylor@fredhutch.org>

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Package competitiontoolbox updated to version 0.7.4 with previous version 0.7.1 dated 2022-08-25

Title: A Graphical User Interface for Antitrust and Trade Practitioners
Description: A graphical user interface for simulating the effects of mergers, tariffs, and quotas under an assortment of different economic models. The interface is powered by the 'Shiny' web application framework from 'RStudio'.
Author: Charles Taragin [aut, cre], Kenneth Rios [aut], Paulette Wolak [aut]
Maintainer: Charles Taragin <ctaragin+competitiontoolbox@gmail.com>

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Package clidatajp updated to version 0.5.3 with previous version 0.5.2 dated 2023-03-04

Title: Data from Japan Meteorological Agency
Description: Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>. Can download climate data from 'JMA'.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package RClickhouse updated to version 0.6.12 with previous version 0.6.11 dated 2026-06-23

Title: 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support
Description: 'Yandex Clickhouse' (<https://clickhouse.com/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
Author: Christian Hotz-Behofsits [aut, cre], Daniel Winkler [aut], Luca Rauchenberger [aut], Peter Knaus [aut], Clemens Danninger [aut], Daria Yudaeva [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], M [...truncated...]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>

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Package OptimalBinningWoE updated to version 1.13.4 with previous version 1.13.3 dated 2026-08-23

Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 37 optimal binning algorithms (16 categorical, 21 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Provides automated variable screening by Information Value strength and bin ordering, and generation of the equivalent 'SQL' 'CASE' expressions for in-database scoring. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package ofhsyn updated to version 0.1.3 with previous version 0.1.1 dated 2026-06-09

Title: Synthetic Our Future Health Data Generator
Description: Generates synthetic Our Future Health cohort datasets for method development, including participant, questionnaire, clinic measurements, outpatient, inpatient, emergency, mortality, primary care medication, and geography outputs. Supports reproducible generation with configurable cohort size and user-defined International Classification of Diseases, Tenth Revision (ICD-10), Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4), and British National Formulary (BNF) code pools.
Author: Hannah Nicholls [aut, cre]
Maintainer: Hannah Nicholls <hlnichollsdev@outlook.com>

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Package moveEZ updated to version 1.3.0 with previous version 1.2.0 dated 2026-05-13

Title: Animated Biplots
Description: Create animated biplots that enables dynamic visualisation of temporal or sequential changes in multivariate data by animating a single biplot across the levels of a time variable. It builds on objects from the 'biplotEZ' package, Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2024) <doi:10.32614/CRAN.package.biplotEZ>, allowing users to create animated biplots that reveal how both samples and variables evolve over time.
Author: Raeesa Ganey [aut, cre, cph] , Johane Nienkemper-Swanepoel [aut, cph]
Maintainer: Raeesa Ganey <raeesa.ganey@wits.ac.za>

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Package mispitools updated to version 2.0.1 with previous version 2.0.0 dated 2026-08-25

Title: Missing Person Identification Tools
Description: A comprehensive toolkit for missing person identification combining genetic and non-genetic evidence within a Bayesian framework. Computes likelihood ratios (LRs) for DNA profiles, biological sex, age, hair color, and birthdate evidence. Provides decision analysis tools including optimal LR thresholds, error rate calculations, and ROC curve visualization. Includes interactive Shiny applications for exploring evidence combinations. For methodological details see Marsico et al. (2023) <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. (2021) <doi:10.1016/j.fsigen.2021.102519>.
Author: Franco Marsico [aut, cre] , Suisei Nakagawa [aut]
Maintainer: Franco Marsico <franco.lmarsico@gmail.com>

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Package MethScope updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-16

Title: Ultra-Fast Analysis of Sparse DNA Methylome via Recurrent Pattern Encoding
Description: Methods for analyzing DNA methylation data via Most Recurrent Methylation Patterns (MRMPs). Supports cell-type annotation, spatial deconvolution, unsupervised clustering, and cancer cell-of-origin inference. Includes C-backed summaries for YAME ".cg/.cm" files (overlap counts, log2 odds ratios, beta/depth aggregation), an XGBoost classifier, NNLS deconvolution, and plotting utilities. Scales to large spatial and single-cell methylomes and is robust to extreme sparsity.
Author: Hongxiang Fu [aut, cre] , Wanding Zhou [cph, fnd], The SAMtools/HTSlib authors [ctb, cph] , Attractive Chaos [ctb, cph] )
Maintainer: Hongxiang Fu <fhx@seas.upenn.edu>

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