<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>eddelbuettel.r-universe.dev</title><link>https://eddelbuettel.r-universe.dev</link><description>Recent package updates in eddelbuettel</description><generator>R-universe</generator><image><url>https://github.com/eddelbuettel.png</url><title>R packages by eddelbuettel</title><link>https://eddelbuettel.r-universe.dev</link></image><lastBuildDate>Sun, 30 Aug 2026 11:30:24 GMT</lastBuildDate><item><title>[eddelbuettel] random 0.2.7</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The true random number service provided by the RANDOM.ORG
website created by Mads Haahr samples atmospheric noise via
radio tuned to an unused broadcasting frequency together with a
skew correction algorithm due to John von Neumann.  More
background is available in the included vignette based on an
essay by Mads Haahr.  In its current form, the package offers
functions to retrieve random integers, randomized sequences and
random strings.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33319774390</link><pubDate>Sun, 30 Aug 2026 11:30:24 GMT</pubDate><r:package>random</r:package><r:version>0.2.7</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/random</r:upstream><r:article><r:source>random-intro.Rnw</r:source><r:filename>random-intro.pdf</r:filename><r:title>random: An R package for true random numbers</r:title><r:created>2013-12-11 01:54:59</r:created><r:modified>2026-08-29 12:54:35</r:modified></r:article><r:article><r:source>random-essay.Rnw</r:source><r:filename>random-essay.pdf</r:filename><r:title>random.org: Introduction to Randomness and Random Numbers</r:title><r:created>2013-12-11 01:54:59</r:created><r:modified>2026-08-29 19:17:52</r:modified></r:article></item><item><title>[eddelbuettel] myman 0.0.4</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Starting on the afternoon of July 17, 2026, Kevin Kruse
fired off an astonishing array of BlueSky replies to an initial
post of his featuring a certain government figure:
&lt;https://bsky.app/profile/did:plc:cnpe7qvcyjrhm6w7w7e4atur/post/3mqum4mxsuk2g&gt;.
This lasted a week and generated nearly seven hundred posts. A
second wave started on August 12, 2026, with this post:
&lt;https://bsky.app/profile/kevinmkruse.bsky.social/post/3mstvbjpagc2a&gt;.
A third wave started on August 17, 2026, with
&lt;https://bsky.app/profile/kevinmkruse.bsky.social/post/3mtcpiw7gi22j&gt;.
A fourth wave started on August 27, 2026, with
&lt;https://bsky.app/profile/kevinmkruse.bsky.social/post/3mu3pugs2yk2f&gt;.
All posts from these series start with 'My man ...' and make
for excellent input to a 'fortunes'-like package. So this small
package obliges and offers a random draw each time its myman()
function is called.  The overall package structure follows
package 'fortunes', and 'atrrr' was used to (bulk-)retrieve
posts. Neither package is required to run this package to
display random selections.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33229156114</link><pubDate>Fri, 28 Aug 2026 22:45:17 GMT</pubDate><r:package>myman</r:package><r:version>0.0.4</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/myman</r:upstream></item><item><title>[corels] corels 0.0.6</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The 'Certifiably Optimal RulE ListS (Corels)' learner by
Angelino et al described in &lt;doi:10.48550/arXiv.1704.01701&gt;
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.</description><link>https://github.com/r-universe/corels/actions/runs/33201263821</link><pubDate>Fri, 28 Aug 2026 16:49:59 GMT</pubDate><r:package>corels</r:package><r:version>0.0.6</r:version><r:status>success</r:status><r:repository>https://corels.r-universe.dev</r:repository><r:upstream>https://github.com/corels/rcppcorels</r:upstream></item><item><title>[eddelbuettel] gaussfacts 0.0.3.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Display a random fact about Carl Friedrich Gauss based on
the collection curated by Mike Cavers via the
&lt;https://web.archive.org/web/*/gaussfacts.com&gt; site.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33123208008</link><pubDate>Thu, 27 Aug 2026 19:14:33 GMT</pubDate><r:package>gaussfacts</r:package><r:version>0.0.3.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/gaussfacts</r:upstream></item><item><title>[eddelbuettel] prrd 0.0.7</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Reverse depends for a given package are queued such that
multiple workers can run the reverse-dependency tests in
parallel.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33070615253</link><pubDate>Thu, 27 Aug 2026 10:51:46 GMT</pubDate><r:package>prrd</r:package><r:version>0.0.7</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/prrd</r:upstream></item><item><title>[eddelbuettel] linl 0.0.6</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A 'LaTeX' Letter class for 'rmarkdown', using the
'pandoc-letter' template adapted for use with 'markdown'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32976432863</link><pubDate>Wed, 26 Aug 2026 12:13:17 GMT</pubDate><r:package>linl</r:package><r:version>0.0.6</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/linl</r:upstream><r:article><r:source>linl.Rmd</r:source><r:filename>linl.html</r:filename><r:title>linl example letter</r:title><r:created>2017-10-15 14:29:32</r:created><r:modified>2023-12-12 13:29:30</r:modified></r:article></item><item><title>[eddelbuettel] gettz 0.0.6</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A function to retrieve the system timezone on Unix systems
which has been found to find an answer when 'Sys.timezone()'
has failed. It is based on an answer by Duane McCully posted on
'StackOverflow', and adapted to be callable from R. The package
also builds on Windows, but just returns NULL. The
functionality it offers was not available in R when the package
was written, but has since been added which reduces the need
for this package.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32854209132</link><pubDate>Tue, 25 Aug 2026 12:58:50 GMT</pubDate><r:package>gettz</r:package><r:version>0.0.6</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/gettz</r:upstream></item><item><title>[eddelbuettel] tellme 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Report compile-time per-platform switches in a named
vector.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32744501315</link><pubDate>Mon, 24 Aug 2026 14:31:08 GMT</pubDate><r:package>tellme</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/tellme</r:upstream></item><item><title>[x13org] x13binary 1.1.61.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The US Census Bureau provides a seasonal adjustment
program now called 'X-13ARIMA-SEATS' building on both earlier
programs called X-11 and X-12 as well as the SEATS program by
the Bank of Spain. The US Census Bureau offers both source and
binary versions -- which this package integrates for use by
other R packages.</description><link>https://github.com/r-universe/x13org/actions/runs/32734776060</link><pubDate>Mon, 24 Aug 2026 13:32:36 GMT</pubDate><r:package>x13binary</r:package><r:version>1.1.61.2</r:version><r:status>success</r:status><r:repository>https://x13org.r-universe.dev</r:repository><r:upstream>https://github.com/x13org/x13binary</r:upstream></item><item><title>[eddelbuettel] RProtoBuf 0.4.28</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Protocol Buffers are a way of encoding structured data in
an efficient yet extensible format. Google uses Protocol
Buffers for almost all of its internal 'RPC' protocols and file
formats.  Additional documentation is available in two included
vignettes one of which corresponds to our 'JSS' paper (2016,
&lt;doi:10.18637/jss.v071.i02&gt;. A sufficiently recent version of
'Protocol Buffers' library is required; currently version 3.3.0
from 2017 is the tested minimum.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32575380399</link><pubDate>Sat, 22 Aug 2026 12:41:14 GMT</pubDate><r:package>RProtoBuf</r:package><r:version>0.4.28</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rprotobuf</r:upstream><r:article><r:source>RProtoBuf-intro.pdf.asis</r:source><r:filename>RProtoBuf-intro.pdf</r:filename><r:title>RProtoBuf-intro</r:title><r:created>2026-01-11 14:37:27</r:created><r:modified>2026-01-11 14:37:27</r:modified></r:article><r:article><r:source>RProtoBuf-paper.pdf.asis</r:source><r:filename>RProtoBuf-paper.pdf</r:filename><r:title>RProtoBuf-paper</r:title><r:created>2026-01-11 14:37:27</r:created><r:modified>2026-01-11 14:37:27</r:modified></r:article><r:article><r:source>RProtoBuf-quickref.pdf.asis</r:source><r:filename>RProtoBuf-quickref.pdf</r:filename><r:title>RProtoBuf-quickref</r:title><r:created>2026-01-11 14:37:27</r:created><r:modified>2026-01-11 14:37:27</r:modified></r:article></item><item><title>[qlcal] qlcal 0.1.3.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>'QuantLib' bindings are provided for R using 'Rcpp' via an
evolved version of the initial header-only 'Quantuccia' project
offering an subset of 'QuantLib' (now maintained separately
just for the calendaring subset). See the included file
'AUTHORS' for a full list of contributors to 'QuantLib' (and
hence also 'Quantuccia').</description><link>https://github.com/r-universe/qlcal/actions/runs/32490204266</link><pubDate>Fri, 21 Aug 2026 12:55:49 GMT</pubDate><r:package>qlcal</r:package><r:version>0.1.3.2</r:version><r:status>success</r:status><r:repository>https://qlcal.r-universe.dev</r:repository><r:upstream>https://github.com/qlcal/qlcal-r</r:upstream></item><item><title>[eddelbuettel] digest 0.6.39.5</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Implementation of a function 'digest()' for the creation
of hash digests of arbitrary R objects (using the 'md5',
'sha-1', 'sha-256', 'crc32', 'xxhash', 'murmurhash',
'spookyhash', 'blake3', 'crc32c', 'xxh3_64', 'xxh3_128', and
'fletcher' algorithms) permitting easy comparison of R language
objects, as well as functions such as 'hmac()' to create
hash-based message authentication code. Please note that this
package is not meant to be deployed for cryptographic purposes
for which more comprehensive (and widely tested) libraries such
as 'OpenSSL' should be used.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32480179884</link><pubDate>Fri, 21 Aug 2026 11:31:44 GMT</pubDate><r:package>digest</r:package><r:version>0.6.39.5</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/digest</r:upstream><r:article><r:source>sha1.md</r:source><r:filename>sha1.html</r:filename><r:title>sha1() versus digest()</r:title><r:created>2021-11-20 18:55:09</r:created><r:modified>2025-01-01 14:21:11</r:modified></r:article></item><item><title>[eddelbuettel] RcppMsgPack 0.2.5</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>'MsgPack' header files are provided for use by R packages,
along with the ability to access, create and alter 'MsgPack'
objects directly from R. 'MsgPack' is an efficient binary
serialization format. It lets you exchange data among multiple
languages like 'JSON' but it is faster and smaller. Small
integers are encoded into a single byte, and typical short
strings require only one extra byte in addition to the strings
themselves. This package provides headers from the 'msgpack-c'
implementation for C and C++(11) for use by R, particularly
'Rcpp'. The included 'msgpack-c' headers are licensed under the
Boost Software License (Version 1.0); the code added by this
package as well the R integration are licensed under the GPL
(&gt;= 2). See the files 'COPYRIGHTS' and 'AUTHORS' for a full
list of copyright holders and contributors to 'msgpack-c'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32301817946</link><pubDate>Wed, 19 Aug 2026 20:05:01 GMT</pubDate><r:package>RcppMsgPack</r:package><r:version>0.2.5</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppmsgpack</r:upstream><r:article><r:source>vignette.rmd</r:source><r:filename>vignette.html</r:filename><r:title>Using RcppMsgPack</r:title><r:created>2017-09-06 11:43:31</r:created><r:modified>2017-09-14 11:28:41</r:modified></r:article></item><item><title>[eddelbuettel] naarma 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The nanoarrow package offers C-level functionality to work
with Arrow object, along with a small amount of C++
integration. This package uses it to interact with Armadillo
objects. Some auxiliary testing facility from the nanoarrow
package is included here as well.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32130011253</link><pubDate>Tue, 18 Aug 2026 10:43:48 GMT</pubDate><r:package>naarma</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/naarma</r:upstream></item><item><title>[eddelbuettel] pkgKitten 0.2.4.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Provides a function kitten() which creates cute little
packages which pass R package checks. This sets it apart from
package.skeleton() which it calls, and which leaves imperfect
files behind. As this is not exactly helpful for beginners,
kitten() offers an alternative. Unit test support can be added
via the 'tinytest' package (if present), and
documentation-creation support can be added via 'roxygen2' (if
present).</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32027567261</link><pubDate>Mon, 17 Aug 2026 11:47:08 GMT</pubDate><r:package>pkgKitten</r:package><r:version>0.2.4.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/pkgkitten</r:upstream></item><item><title>[eddelbuettel] littler 0.3.23.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A scripting and command-line front-end is provided by 'r'
(aka 'littler') as a lightweight binary wrapper around the GNU
R language and environment for statistical computing and
graphics. While R can be used in batch mode, the r binary adds
full support for both 'shebang'-style scripting (i.e. using a
hash-mark-exclamation-path expression as the first line in
scripts) as well as command-line use in standard Unix
pipelines. In other words, r provides the R language without
the environment.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31945639504</link><pubDate>Sun, 16 Aug 2026 11:53:38 GMT</pubDate><r:package>littler</r:package><r:version>0.3.23.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/littler</r:upstream><r:article><r:source>littler-examples.md</r:source><r:filename>littler-examples.html</r:filename><r:title>Littler Examples</r:title><r:created>2021-10-28 00:38:48</r:created><r:modified>2021-10-28 00:38:48</r:modified></r:article><r:article><r:source>littler-faq.md</r:source><r:filename>littler-faq.html</r:filename><r:title>Littler FAQ</r:title><r:created>2021-10-28 00:38:48</r:created><r:modified>2021-10-28 00:38:48</r:modified></r:article></item><item><title>[eddelbuettel] inline 0.3.21</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Functionality to dynamically define R functions and S4
methods with 'inlined' C, C++ or Fortran code supporting the .C
and .Call calling conventions.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31861730594</link><pubDate>Sat, 15 Aug 2026 02:25:35 GMT</pubDate><r:package>inline</r:package><r:version>0.3.21</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/inline</r:upstream></item><item><title>[eddelbuettel] gunsales 0.1.3</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Statistical analysis of monthly background checks of gun
purchases for the New York Times story &quot;What Drives Gun Sales:
Terrorism, Obama and Calls for Restrictions&quot; at
&lt;https://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html&gt;
is provided.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31807966018</link><pubDate>Fri, 14 Aug 2026 12:56:30 GMT</pubDate><r:package>gunsales</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/gunsales</r:upstream><r:article><r:source>gunsales.Rmd</r:source><r:filename>gunsales.html</r:filename><r:title>Statistical Analysis of Monthly Background Checks of Gun Purchases</r:title><r:created>2016-01-28 05:47:21</r:created><r:modified>2026-01-13 13:41:08</r:modified></r:article></item><item><title>[eddelbuettel] dtts 0.1.4</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>High-frequency time-series support via 'nanotime' and
'data.table'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31351545832</link><pubDate>Mon, 10 Aug 2026 02:15:56 GMT</pubDate><r:package>dtts</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/dtts</r:upstream></item><item><title>[eddelbuettel] drat 0.2.5</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Creation and use of R Repositories via helper functions to
insert packages into a repository, and to add repository
information to the current R session. Two primary types of
repositories are support: gh-pages at GitHub, as well as local
repositories on either the same machine or a local network.
Drat is a recursive acronym: Drat R Archive Template.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31351544181</link><pubDate>Mon, 10 Aug 2026 02:15:24 GMT</pubDate><r:package>drat</r:package><r:version>0.2.5</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/drat</r:upstream><r:article><r:source>CombiningDratAndTravis.md</r:source><r:filename>CombiningDratAndTravis.html</r:filename><r:title>Combining Drat and Travis CI</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2023-10-09 20:36:46</r:modified></r:article><r:article><r:source>DratForPackageAuthors.md</r:source><r:filename>DratForPackageAuthors.html</r:filename><r:title>Drat Basics for Package Authors: Distributing Packages</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2023-10-09 20:36:46</r:modified></r:article><r:article><r:source>DratForPackageUsers.md</r:source><r:filename>DratForPackageUsers.html</r:filename><r:title>Drat Basics for Package Users: Installing or Updating Packages</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2021-12-02 15:17:08</r:modified></r:article><r:article><r:source>DratFAQ.md</r:source><r:filename>DratFAQ.html</r:filename><r:title>Drat Frequently Asked Questions</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2022-10-20 02:13:49</r:modified></r:article><r:article><r:source>DratStepByStep.md</r:source><r:filename>DratStepByStep.html</r:filename><r:title>Drat Step-by-Step</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2021-11-28 14:28:35</r:modified></r:article><r:article><r:source>WhyDrat.md</r:source><r:filename>WhyDrat.html</r:filename><r:title>Why Drat?</r:title><r:created>2021-11-28 14:28:35</r:created><r:modified>2021-11-28 14:28:35</r:modified></r:article></item><item><title>[rcppcore] Rcpp 1.1.2.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The 'Rcpp' package provides R functions as well as C++
classes which offer a seamless integration of R and C++. Many R
data types and objects can be mapped back and forth to C++
equivalents which facilitates both writing of new code as well
as easier integration of third-party libraries. Documentation
about 'Rcpp' is provided by several vignettes included in this
package, via the 'Rcpp Gallery' site at
&lt;https://gallery.rcpp.org&gt;, the paper by Eddelbuettel and
Francois (2011, &lt;doi:10.18637/jss.v040.i08&gt;), the book by
Eddelbuettel (2013, &lt;doi:10.1007/978-1-4614-6868-4&gt;) and the
paper by Eddelbuettel and Balamuta (2018,
&lt;doi:10.1080/00031305.2017.1375990&gt;); see 'citation(&quot;Rcpp&quot;)'
for details.</description><link>https://github.com/r-universe/rcppcore/actions/runs/31278921575</link><pubDate>Sat, 08 Aug 2026 21:06:57 GMT</pubDate><r:package>Rcpp</r:package><r:version>1.1.2.2</r:version><r:status>success</r:status><r:repository>https://rcppcore.r-universe.dev</r:repository><r:upstream>https://github.com/rcppcore/rcpp</r:upstream><r:article><r:source>Rcpp-attributes.pdf.asis</r:source><r:filename>Rcpp-attributes.pdf</r:filename><r:title>Rcpp-attributes</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-extending.pdf.asis</r:source><r:filename>Rcpp-extending.pdf</r:filename><r:title>Rcpp-extending</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-FAQ.pdf.asis</r:source><r:filename>Rcpp-FAQ.pdf</r:filename><r:title>Rcpp-FAQ</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-introduction.pdf.asis</r:source><r:filename>Rcpp-introduction.pdf</r:filename><r:title>Rcpp-introduction</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-jss-2011.pdf.asis</r:source><r:filename>Rcpp-jss-2011.pdf</r:filename><r:title>Rcpp-JSS-2011</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-libraries.pdf.asis</r:source><r:filename>Rcpp-libraries.pdf</r:filename><r:title>Rcpp-libraries</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-modules.pdf.asis</r:source><r:filename>Rcpp-modules.pdf</r:filename><r:title>Rcpp-modules</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-package.pdf.asis</r:source><r:filename>Rcpp-package.pdf</r:filename><r:title>Rcpp-package</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-quickref.pdf.asis</r:source><r:filename>Rcpp-quickref.pdf</r:filename><r:title>Rcpp-quickref</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article><r:article><r:source>Rcpp-sugar.pdf.asis</r:source><r:filename>Rcpp-sugar.pdf</r:filename><r:title>Rcpp-sugar</r:title><r:created>2025-07-19 13:10:03</r:created><r:modified>2025-07-19 13:10:03</r:modified></r:article></item><item><title>[eddelbuettel] RcppExamples 0.1.10</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Examples for Seamless R and C++ integration The 'Rcpp'
package contains a C++ library that facilitates the integration
of R and C++ in various ways. This package provides some usage
examples. Note that the documentation in this package currently
does not cover all the features in the package. The site
&lt;https://gallery.rcpp.org&gt; regroups a large number of examples
for 'Rcpp'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31043802580</link><pubDate>Wed, 05 Aug 2026 19:50:50 GMT</pubDate><r:package>RcppExamples</r:package><r:version>0.1.10</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppexamples</r:upstream></item><item><title>[eddelbuettel] crc32cExample 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The 'crc32c' package exposes a C-level API allowing other
packages to use the functions it exposed. This packages
provides a simple example of how. (The 'zigg' package has more
extended examples of using the function it exposes in four
different ways.)</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30950291636</link><pubDate>Tue, 04 Aug 2026 20:57:59 GMT</pubDate><r:package>crc32cExample</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/crc32c-example</r:upstream></item><item><title>[eddelbuettel] dang 0.0.17.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A collection of utility functions.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30950299016</link><pubDate>Tue, 04 Aug 2026 20:22:20 GMT</pubDate><r:package>dang</r:package><r:version>0.0.17.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/dang</r:upstream></item><item><title>[eddelbuettel] ciw 0.0.2.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Directory reads and summaries are provided for one or more
of the subdirectories of the
&lt;https://cran.r-project.org/incoming/&gt; directory, and a compact
summary object is returned. The package name is a contraption
of 'CRAN Incoming Watcher'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30922951153</link><pubDate>Tue, 04 Aug 2026 13:01:20 GMT</pubDate><r:package>ciw</r:package><r:version>0.0.2.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/ciw</r:upstream></item><item><title>[eddelbuettel] chronometre 0.0.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>As a 'chronomètre' is a 'stopwatch', this package offers a
simple stopwatch, and in particular one that can be shared with
Python (using the corresponding package of the same name
available via 'PyPi') such that both interpreters operate on
the same object instance and shown in the demo file, as well as
in the unit tests.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30876372685</link><pubDate>Tue, 04 Aug 2026 00:26:31 GMT</pubDate><r:package>chronometre</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/chronometre-r</r:upstream></item><item><title>[rblp] Rblpapi 0.3.16.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>An R Interface to 'Bloomberg' is provided via the 'Blp
API'.</description><link>https://github.com/r-universe/rblp/actions/runs/30754084425</link><pubDate>Sun, 02 Aug 2026 14:38:45 GMT</pubDate><r:package>Rblpapi</r:package><r:version>0.3.16.1</r:version><r:status>success</r:status><r:repository>https://rblp.r-universe.dev</r:repository><r:upstream>https://github.com/rblp/rblpapi</r:upstream><r:article><r:source>rblpapi-intro.md</r:source><r:filename>rblpapi-intro.html</r:filename><r:title>Introducing Rblpapi</r:title><r:created>2021-12-07 02:48:03</r:created><r:modified>2022-10-25 12:49:05</r:modified></r:article></item><item><title>[eddelbuettel] binb 0.0.8</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A collection of 'LaTeX' styles using 'Beamer'
customization for pdf-based presentation slides in 'RMarkdown'.
At present it contains 'RMarkdown' adaptations of the LaTeX
themes 'Metropolis' (formerly 'mtheme') theme by Matthias
Vogelgesang and others (now included in 'TeXLive'), the 'IQSS'
them by Ista Zahn (which is included here), and the 'Monash'
theme by Rob J Hyndman. Additional (free) fonts may be needed:
'Metropolis' prefers 'Fira', and 'IQSS' requires 'Libertinus'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33308807309</link><pubDate>Fri, 31 Jul 2026 11:16:18 GMT</pubDate><r:package>binb</r:package><r:version>0.0.8</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/binb</r:upstream><r:article><r:source>metropolisDemo.Rmd</r:source><r:filename>metropolisDemo.pdf</r:filename><r:title>Metropolis</r:title><r:created>2018-09-16 13:28:08</r:created><r:modified>2026-05-01 19:39:15</r:modified></r:article></item><item><title>[eddelbuettel] crc32c 0.0.3</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Hardware-based support for 'CRC32C' cyclic redundancy
checksum function is made available for 'x86_64' systems with
'SSE2' support as well as for 'arm64', and detected at
build-time via 'cmake' with a software-based fallback.  This
functionality is exported at the 'C'-language level for use by
other packages. 'CRC32C' is described in 'RFC 3270' at
&lt;https://datatracker.ietf.org/doc/html/rfc3720&gt; and is based on
'Castagnoli et al' &lt;doi:10.1109/26.231911&gt;.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33247430647</link><pubDate>Thu, 30 Jul 2026 13:00:24 GMT</pubDate><r:package>crc32c</r:package><r:version>0.0.3</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/crc32c</r:upstream></item><item><title>[eddelbuettel] nanotime 0.3.15.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Full 64-bit resolution date and time functionality with
nanosecond granularity is provided, with easy transition to and
from the standard 'POSIXct' type. Three additional classes
offer interval, period and duration functionality for
nanosecond-resolution timestamps.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697914320</link><pubDate>Tue, 28 Jul 2026 17:39:46 GMT</pubDate><r:package>nanotime</r:package><r:version>0.3.15.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/nanotime</r:upstream><r:article><r:source>nanotime-intro.pdf.asis</r:source><r:filename>nanotime-intro.pdf</r:filename><r:title>nanotime: A datetime library with nanosecond precision</r:title><r:created>2026-03-05 17:27:50</r:created><r:modified>2026-03-05 17:27:50</r:modified></r:article></item><item><title>[eddelbuettel] RcppDate 0.0.7</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A header-only C++ library is provided with support for
dates, time zones, ISO weeks, Julian dates, and Islamic dates.
'date' offers extensive date and time functionality for the
C++11, C++14 and C++17 standards and was written by Howard
Hinnant and released under the MIT license. A slightly modified
version has been accepted (along with 'tz.h') as part of C++20.
This package regroups all header files from the upstream
repository by Howard Hinnant so that other R packages can use
them in their C++ code. At present, few of the types have
explicit 'Rcpp' wrappers though these may be added as needed.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33084501351</link><pubDate>Tue, 28 Jul 2026 10:13:45 GMT</pubDate><r:package>RcppDate</r:package><r:version>0.0.7</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppdate</r:upstream></item><item><title>[rcppcore] RcppEigen 0.4.9.9-2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++
template library for linear algebra: matrices, vectors,
numerical solvers and related algorithms.  It supports dense
and sparse matrices on integer, floating point and complex
numbers, decompositions of such matrices, and solutions of
linear systems. Its performance on many algorithms is
comparable with some of the best implementations based on
'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes
the header files from the 'Eigen' C++ template library. Thus
users do not need to install 'Eigen' itself in order to use
'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the
Mozilla Public License (version 2); earlier version were
licensed under the GNU LGPL version 3 or later. 'RcppEigen'
(the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the
GNU GPL version 2 or later, as is the rest of 'Rcpp'.</description><link>https://github.com/r-universe/rcppcore/actions/runs/31279595719</link><pubDate>Mon, 27 Jul 2026 20:13:55 GMT</pubDate><r:package>RcppEigen</r:package><r:version>0.4.9.9-2</r:version><r:status>success</r:status><r:repository>https://rcppcore.r-universe.dev</r:repository><r:upstream>https://github.com/rcppcore/rcppeigen</r:upstream><r:article><r:source>RcppEigen-Introduction.pdf.asis</r:source><r:filename>RcppEigen-Introduction.pdf</r:filename><r:title>RcppEigen-intro</r:title><r:created>2026-05-03 14:40:33</r:created><r:modified>2026-05-03 14:40:33</r:modified></r:article></item><item><title>[eddelbuettel] anytime 0.3.13.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Convert input in any one of character, integer, numeric,
factor, or ordered type into 'POSIXct' (or 'Date') objects,
using one of a number of predefined formats, and relying on
Boost facilities for date and time parsing.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697913384</link><pubDate>Mon, 27 Jul 2026 16:52:24 GMT</pubDate><r:package>anytime</r:package><r:version>0.3.13.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/anytime</r:upstream><r:article><r:source>anytime-introduction.pdf.asis</r:source><r:filename>anytime-introduction.pdf</r:filename><r:title>Introduction to anytime</r:title><r:created>2026-04-07 16:25:21</r:created><r:modified>2026-04-07 16:25:21</r:modified></r:article></item><item><title>[eddelbuettel] ulid 0.4.0.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Universally unique identifiers ('UUIDs') can be
sub-optimal for many uses-cases because they are not the most
character efficient way of encoding 128 bits of randomness;
v1/v2 versions are impractical in many environments, as they
require access to a unique, stable MAC address; v3/v5 versions
require a unique seed and produce randomly distributed IDs,
which can cause fragmentation in many data structures; v4
provides no other information than randomness which can cause
fragmentation in many data structures. Providing an
alternative, 'ULIDs' (&lt;https://github.com/ulid/spec&gt;) have
128-bit compatibility with 'UUID', 1.21e+24 unique 'ULIDs' per
millisecond, support standard (text) sorting, canonically
encoded as a 26 character string, as opposed to the 36
character 'UUID', use 'base32' encoding for better efficiency
and readability (5 bits per character), are case insensitive,
have no special characters (i.e. are 'URL' safe) and have a
monotonic sort order (correctly detects and handles the same
millisecond).</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30283372448</link><pubDate>Mon, 27 Jul 2026 13:39:03 GMT</pubDate><r:package>ulid</r:package><r:version>0.4.0.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/ulid</r:upstream></item><item><title>[eddelbuettel] RQuantLib 0.4.28.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The 'RQuantLib' package makes parts of 'QuantLib'
accessible from R The 'QuantLib' project aims to provide a
comprehensive software framework for quantitative finance. The
goal is to provide a standard open source library for
quantitative analysis, modeling, trading, and risk management
of financial assets.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32869946108</link><pubDate>Sun, 26 Jul 2026 16:12:53 GMT</pubDate><r:package>RQuantLib</r:package><r:version>0.4.28.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rquantlib</r:upstream></item><item><title>[rcppcore] RcppArmadillo 15.4.2-1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>'Armadillo' is a templated C++ linear algebra library
aiming towards a good balance between speed and ease of use. It
provides high-level syntax and functionality deliberately
similar to Matlab. It is useful for algorithm development
directly in C++, or quick conversion of research code into
production environments. It provides efficient classes for
vectors, matrices and cubes where dense and sparse matrices are
supported. Integer, floating point and complex numbers are
supported. A sophisticated expression evaluator (based on
template meta-programming) automatically combines several
operations to increase speed and efficiency. Dynamic evaluation
automatically chooses optimal code paths based on detected
matrix structures. Matrix decompositions are provided through
integration with LAPACK, or one of its high performance drop-in
replacements (such as 'MKL' or 'OpenBLAS'). It can
automatically use 'OpenMP' multi-threading (parallelisation) to
speed up computationally expensive operations.
.
The 'RcppArmadillo' package includes the header files from the
'Armadillo' library; users do not need to install 'Armadillo'
itself in order to use 'RcppArmadillo'. Starting from release
15.0.0, the minimum compilation standard is C++14.
.
Since release 7.800.0, 'Armadillo' is licensed under Apache License 2;
previous releases were under licensed as MPL 2.0 from version
3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the
'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU
GPL version 2 or later, as is the rest of 'Rcpp'.</description><link>https://github.com/r-universe/rcppcore/actions/runs/31279594619</link><pubDate>Sat, 25 Jul 2026 15:09:42 GMT</pubDate><r:package>RcppArmadillo</r:package><r:version>15.4.2-1</r:version><r:status>success</r:status><r:repository>https://rcppcore.r-universe.dev</r:repository><r:upstream>https://github.com/rcppcore/rcpparmadillo</r:upstream><r:article><r:source>RcppArmadillo-intro.pdf.asis</r:source><r:filename>RcppArmadillo-intro.pdf</r:filename><r:title>RcppArmadillo-introduction</r:title><r:created>2026-03-24 22:24:57</r:created><r:modified>2026-03-24 22:24:57</r:modified></r:article><r:article><r:source>RcppArmadillo-sparseMatrix.pdf.asis</r:source><r:filename>RcppArmadillo-sparseMatrix.pdf</r:filename><r:title>RcppArmadillo-sparseMatrix</r:title><r:created>2026-03-24 22:24:57</r:created><r:modified>2026-03-24 22:24:57</r:modified></r:article></item><item><title>[eddelbuettel] mlpack 4.8.0-1</title><author>ryan@ratml.org (Ryan Curtin)</author><description>A fast, flexible machine learning library, written in C++,
that aims to provide fast, extensible implementations of
cutting-edge machine learning algorithms.  See also Curtin et
al. (2023) &lt;doi:10.21105/joss.05026&gt;.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697917265</link><pubDate>Mon, 20 Jul 2026 20:54:18 GMT</pubDate><r:package>mlpack</r:package><r:version>4.8.0-1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/mlpack-r</r:upstream></item><item><title>[eddelbuettel] BH 1.90.0-1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Boost provides free peer-reviewed portable C++ source
libraries.  A large part of Boost is provided as C++ template
code which is resolved entirely at compile-time without
linking.  This package aims to provide the most useful subset
of Boost libraries for template use among CRAN packages. By
placing these libraries in this package, we offer a more
efficient distribution system for CRAN as replication of this
code in the sources of other packages is avoided. As of release
1.84.0-0, the following Boost libraries are included:
'accumulators' 'algorithm' 'align' 'any' 'atomic' 'beast'
'bimap' 'bind' 'circular_buffer' 'compute' 'concept' 'config'
'container' 'date_time' 'detail' 'dynamic_bitset' 'exception'
'flyweight' 'foreach' 'functional' 'fusion' 'geometry' 'graph'
'heap' 'icl' 'integer' 'interprocess' 'intrusive' 'io'
'iostreams' 'iterator' 'lambda2' 'math' 'move' 'mp11' 'mpl'
'multiprecision' 'numeric' 'pending' 'phoenix' 'polygon'
'preprocessor' 'process' 'propery_tree' 'qvm' 'random' 'range'
'scope_exit' 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits'
'typeof' 'unordered' 'url' 'utility' 'uuid'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31859846332</link><pubDate>Thu, 16 Jul 2026 02:40:49 GMT</pubDate><r:package>BH</r:package><r:version>1.90.0-1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/bh</r:upstream></item><item><title>[eddelbuettel] AsioHeaders 1.30.2-1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>'Asio' is a cross-platform C++ library for network and
low-level I/O programming that provides developers with a
consistent asynchronous model using a modern C++ approach. It
is also included in Boost but requires linking when used with
Boost. Standalone it can be used header-only (provided a recent
compiler). 'Asio' is written and maintained by Christopher M.
Kohlhoff, and released under the 'Boost Software License',
Version 1.0.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31859780287</link><pubDate>Thu, 16 Jul 2026 02:40:12 GMT</pubDate><r:package>AsioHeaders</r:package><r:version>1.30.2-1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/asioheaders</r:upstream></item><item><title>[eddelbuettel] acane 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Programming via the C API of 'Arrow' is powerful, and
while documentation exists additional examples should be
helpful. Some examples are collected here.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31568485743</link><pubDate>Mon, 13 Jul 2026 12:25:01 GMT</pubDate><r:package>acane</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/acane</r:upstream></item><item><title>[eddelbuettel] rcppmlpackexamples 0.0.1.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>A Minimal Example Package which demonstrates 'mlpack' use
via C++ Code from R.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32325345634</link><pubDate>Sun, 12 Jul 2026 01:39:07 GMT</pubDate><r:package>rcppmlpackexamples</r:package><r:version>0.0.1.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppmlpack-examples</r:upstream></item><item><title>[eddelbuettel] RcppNLoptExample 0.0.2.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>An example package which shows use of 'NLopt'
functionality from C++ via 'Rcpp' without requiring linking,
and relying just on 'nloptr' thanks to the exporting API added
there by Jelmer Ypma. This package is a fully functioning,
updated, and expanded version of the initial example by Julien
Chiquet at
&lt;https://github.com/jchiquet/RcppArmadilloNLoptExample&gt; also
containing a large earlier pull request of mine.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/32615246761</link><pubDate>Sat, 04 Jul 2026 12:38:19 GMT</pubDate><r:package>RcppNLoptExample</r:package><r:version>0.0.2.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppnloptexample</r:upstream></item><item><title>[eddelbuettel] tlexample 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>An illustraton of how the 'tl' package permits consistent
logging from both R and C++ in a manner that is 'tiny, fast,
capable'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30688834734</link><pubDate>Thu, 02 Jul 2026 13:29:28 GMT</pubDate><r:package>tlexample</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/tlexample</r:upstream></item><item><title>[eddelbuettel] tl 0.0.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Just how 'spdl' provides a nice and consistent interface
to 'spdlog' (via 'RcppSpdlog'), this package does so for
'spdlite', the lightweight header-only C++-20 logging library
that provides a lighter version of 'spdlog'. This package is
essentially a thin shim around it for a more compact interface
from both R and C++.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33242684268</link><pubDate>Tue, 30 Jun 2026 16:00:14 GMT</pubDate><r:package>tl</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/tl</r:upstream></item><item><title>[eddelbuettel] rspdlite 0.1.0-1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The lightweight header-only C++-20 logging library
'spdlite', a lighter version of 'spdlog' and also written by
Gabi Melman, provides most of the features of the larger
version, and also includes 'fmt' as a fallback if std::format()
is not selected.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697912455</link><pubDate>Sun, 28 Jun 2026 16:30:41 GMT</pubDate><r:package>rspdlite</r:package><r:version>0.1.0-1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rspdlite</r:upstream></item><item><title>[eddelbuettel] rbenchmark 1.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Benchmarking of arbitrary R code, inspired by similar
functionality in a Perl module, is implemented via a simple
wrapper around system.time(). Given a specification of the
benchmarking process (counts of replications, evaluation
environment) and an arbitrary number of expressions, the
function evaluates each of the expressions in the specified
environment, replicating the evaluation as many times as
specified, and returning the results conveniently wrapped into
a data frame.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31774424602</link><pubDate>Mon, 15 Jun 2026 11:34:34 GMT</pubDate><r:package>rbenchmark</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rbenchmark</r:upstream></item><item><title>[eddelbuettel] RcppNarrow 0.0.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>Leaning on the 'narrow' package for C-level access to
'Arrow' without requiring the full weight of that package.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/31923143325</link><pubDate>Mon, 18 May 2026 11:08:32 GMT</pubDate><r:package>RcppNarrow</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppnarrow</r:upstream></item><item><title>[eddelbuettel] RcppDE 0.1.9</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>An efficient C++ based implementation of the 'DEoptim'
function which performs global optimization by differential
evolution. Its creation was motivated by trying to see if the
old approximation &quot;easier, shorter, faster: pick any two&quot; could
in fact be extended to achieving all three goals while moving
the code from plain old C to modern C++.  The initial version
did in fact do so, but a good part of the gain was due to an
implicit code review which eliminated a few inefficiencies
which have since been eliminated in 'DEoptim'.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/33194975401</link><pubDate>Mon, 11 May 2026 16:34:16 GMT</pubDate><r:package>RcppDE</r:package><r:version>0.1.9</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppde</r:upstream><r:article><r:source>RcppDE.pdf.asis</r:source><r:filename>RcppDE.pdf</r:filename><r:title>From DEoptim to RcppDE: A case study in porting from C to C++ using Rcpp and RcppArmadillo</r:title><r:created>2026-05-11 16:34:16</r:created><r:modified>2026-05-11 16:34:16</r:modified></r:article></item><item><title>[eddelbuettel] RcppSpdlog 0.0.29.1</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The mature and widely-used C++ logging library 'spdlog' by
Gabi Melman provides many desirable features. This package
bundles these header files for easy use by R packages from both
their R and C or C++ code. Explicit use via 'LinkingTo:' is
also supported. Also see the 'spdl' package which enhanced this
package with a consistent R and C++ interface.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697911516</link><pubDate>Mon, 11 May 2026 14:46:47 GMT</pubDate><r:package>RcppSpdlog</r:package><r:version>0.0.29.1</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppspdlog</r:upstream><r:article><r:source>introduction.md</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to RcppSpdlog</r:title><r:created>2021-11-19 23:55:44</r:created><r:modified>2023-01-07 19:09:07</r:modified></r:article></item><item><title>[eddelbuettel] RcppSimdJson 0.1.15.2</title><author>edd@debian.org (Dirk Eddelbuettel)</author><description>The 'JSON' format is ubiquitous for data interchange, and
the 'simdjson' library written by Daniel Lemire (and many
contributors) provides a high-performance parser for these
files which by relying on parallel 'SIMD' instruction manages
to parse these files as faster than disk speed. See the
&lt;doi:10.48550/arXiv.1902.08318&gt; paper for more details about
'simdjson'.  This package parses 'JSON' from string, file, or
remote URLs under a variety of settings.</description><link>https://github.com/r-universe/eddelbuettel/actions/runs/30697924079</link><pubDate>Tue, 05 May 2026 10:43:03 GMT</pubDate><r:package>RcppSimdJson</r:package><r:version>0.1.15.2</r:version><r:status>success</r:status><r:repository>https://eddelbuettel.r-universe.dev</r:repository><r:upstream>https://github.com/eddelbuettel/rcppsimdjson</r:upstream></item></channel></rss>