Search Results: "anbe"

17 April 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.2.1 on CRAN: Micro Fix

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1135 other packages on CRAN, downloaded 33.7 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 579 times according to Google Scholar. Yesterday s release accommodates reticulate by suspending a single test that now croaks creating a reverse-dependency issue for that package. No other changes were made. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.2.1 (2024-04-15)
  • One-char bug fix release commenting out one test that upsets reticulate when accessing a scipy sparse matrix

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

5 April 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.2.0 on CRAN: Upstream Fix

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1136 other packages on CRAN, downloaded 33.5 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 578 times according to Google Scholar. This release brings a new upstream bugfix release Armadillo 12.8.2 prepared by Conrad two days ago. It took the usual day to noodle over 1100+ reverse dependencies and ensure two failures were independent of the upgrade (i.e., no change to worse in CRAN parlance). It took CRAN another because we hit a random network outage for (spurious) NOTE on a remote URL, and were then caught in the shrapnel from another large package ecosystem update spuriously pointing some build failures that were due to a missing rebuild to us. All good, as human intervention comes to the rescue. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.2.0 (2024-04-02)
  • Upgraded to Armadillo release 12.8.2 (Cortisol Injector)
    • Workaround for FFTW3 header clash
    • Workaround in testing framework for issue under macOS
    • Minor cleanups to reduce code bloat
    • Improved documentation

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

23 March 2024

Dirk Eddelbuettel: littler 0.3.20 on CRAN: Moar Features!

max-heap image The twentyfirst release of littler as a CRAN package landed on CRAN just now, following in the now eighteen year history (!!) as a package started by Jeff in 2006, and joined by me a few weeks later. littler is the first command-line interface for R as it predates Rscript. It allows for piping as well for shebang scripting via #!, uses command-line arguments more consistently and still starts faster. It also always loaded the methods package which Rscript only began to do in recent years. littler lives on Linux and Unix, has its difficulties on macOS due to yet-another-braindeadedness there (who ever thought case-insensitive filesystems as a default were a good idea?) and simply does not exist on Windows (yet the build system could be extended see RInside for an existence proof, and volunteers are welcome!). See the FAQ vignette on how to add it to your PATH. A few examples are highlighted at the Github repo:, as well as in the examples vignette. This release contains another fair number of small changes and improvements to some of the scripts I use daily to build or test packages, adds a new front-end ciw.r for the recently-released ciw package offering a CRAN Incoming Watcher , a new helper installDeps2.r (extending installDeps.r), a new doi-to-bib converter, allows a different temporary directory setup I find helpful, deals with one corner deployment use, and more. The full change description follows.

Changes in littler version 0.3.20 (2024-03-23)
  • Changes in examples scripts
    • New (dependency-free) helper installDeps2.r to install dependencies
    • Scripts rcc.r, tt.r, tttf.r, tttlr.r use env argument -S to set -t to r
    • tt.r can now fill in inst/tinytest if it is present
    • New script ciw.r wrapping new package ciw
    • tttf.t can now use devtools and its loadall
    • New script doi2bib.r to call the DOI converter REST service (following a skeet by Richard McElreath)
  • Changes in package
    • The CI setup uses checkout@v4 and the r-ci-setup action
    • The Suggests: is a little tighter as we do not list all packages optionally used in the the examples (as R does not check for it either)
    • The package load messag can account for the rare build of R under different architecture (Berwin Turlach in #117 closing #116)
    • In non-vanilla mode, the temporary directory initialization in re-run allowing for a non-standard temp dir via config settings

My CRANberries service provides a comparison to the previous release. Full details for the littler release are provided as usual at the ChangeLog page, and also on the package docs website. The code is available via the GitHub repo, from tarballs and now of course also from its CRAN page and via install.packages("littler"). Binary packages are available directly in Debian as well as (in a day or two) Ubuntu binaries at CRAN thanks to the tireless Michael Rutter. Comments and suggestions are welcome at the GitHub repo. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

20 March 2024

Dirk Eddelbuettel: ciw 0.0.2 on CRAN: Updates

A first revision of the still only one-week old (at CRAN) package ciw has been released to CRAN! It provides is a single (efficient) function incoming() (now along with an alias ciw()) which summarises the state of the incoming directories at CRAN. I happen to like having these things at my (shell) fingertips, so it goes along with (still draft) wrapper ciw.r that will be part of the next littler release. For example, when I do this right now as I type this, I see (typically less than one second later) 
edd@rob:~$ ciw.r 
    Folder                     Name                Time   Size         Age
    <char>                   <char>              <POSc> <char>  <difftime>
1: pretest instantiate_0.2.2.tar.gz 2024-03-20 13:29:00    17K  0.07 hours
2: recheck   tinytable_0.2.0.tar.gz 2024-03-20 12:50:00   565K  0.72 hours
3: pending      Matrix_1.7-0.tar.gz 2024-03-20 12:05:00   2.3M  1.47 hours
4: recheck      survey_4.4-2.tar.gz 2024-03-20 02:02:00   2.2M 11.52 hours
5: waiting   equateIRT_2.4.0.tar.gz 2024-03-19 17:00:00   895K 20.55 hours
6: pending   ravetools_0.1.5.tar.gz 2024-03-19 12:06:00   1.0M 25.45 hours
7: waiting     glmmTMB_1.1.9.tar.gz 2024-03-18 16:04:00   4.2M 45.48 hours
edd@rob:~$
See ciw.r --help or ciw.r --usage for more. Alternatively, in your R session, you can call ciw::incoming() (or now ciw::ciw()) for the same result (and/or load the package first). This release adds some packaging touches, brings the new alias ciw() as well as a state variable with all (known) folder names and some internal improvements for dealing with error conditions. The NEWS entry follows.

Changes in version 0.0.2 (2024-03-20)
  • The package README and DESCRIPTION have been expanded
  • An alias ciw can now be used for incoming
  • Network error handling is now more robist
  • A state variable known_folders lists all CRAN folders below incoming

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

11 March 2024

Dirk Eddelbuettel: digest 0.6.35 on CRAN: New xxhash code

Release 0.6.35 of the digest package arrived at CRAN today and has also been uploaded to Debian already. digest creates hash digests of arbitrary R objects. It can use a number different hashing algorithms (md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, spookyhash, blake3,crc32c and now also xxh3_64 and xxh3_128), and enables easy comparison of (potentially large and nested) R language objects as it relies on the native serialization in R. It is a mature and widely-used package (with 65.8 million downloads just on the partial cloud mirrors of CRAN which keep logs) as many tasks may involve caching of objects for which it provides convenient general-purpose hash key generation to quickly identify the various objects. This release updates the included xxHash version to the current verion 0.8.2 updating the existing xxhash32 and xxhash64 hash functions and also adding the newer xxh3_64 and xxh3_128 ones. We have a project at work using xxh3_128 from Python which made me realize having it from R would be nice too, and given the existing infrastructure in the package actually doing so was fairly quick and straightforward. My CRANberries provides a summary of changes to the previous version. For questions or comments use the issue tracker off the GitHub repo. For documentation (including the changelog) see the documentation site. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

7 March 2024

Dirk Eddelbuettel: prrd 0.0.6 at CRAN: Several Improvements

Thrilled to share that a new version of prrd arrived at CRAN yesterday in a first update in two and a half years. prrd facilitates the parallel running [of] reverse dependency [checks] when preparing R packages. It is used extensively for releases I make of Rcpp, RcppArmadillo, RcppEigen, BH, and others. prrd screenshot image The key idea of prrd is simple, and described in some more detail on its webpage and its GitHub repo. Reverse dependency checks are an important part of package development that is easily done in a (serial) loop. But these checks are also generally embarassingly parallel as there is no or little interdependency between them (besides maybe shared build depedencies). See the (dated) screenshot (running six parallel workers, arranged in a split byobu session). This release, the first since 2021, brings a number of enhancments. In particular, the summary function is now improved in several ways. Josh also put in a nice PR that generalizes some setup defaults and values. The release is summarised in the NEWS entry:

Changes in prrd version 0.0.6 (2024-03-06)
  • The summary function has received several enhancements:
    • Extended summary is only running when failures are seen.
    • The summariseQueue function now displays an anticipated completion time and remaining duration.
    • The use of optional package foghorn has been refined, and refactored, when running summaries.
  • The dequeueJobs.r scripts can receive a date argument, the date can be parse via anydate if anytime ins present.
  • The enqueeJobs.r now considers skipped package when running 'addfailed' while ensuring selecting packages are still on CRAN.
  • The CI setup has been updated (twice),
  • Enqueing and dequing functions and scripts now support relative directories, updated documentation (#18 by Joshua Ulrich).

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

4 March 2024

Dirk Eddelbuettel: tinythemes 0.0.2 at CRAN: Maintenance

A first maintenance of the still fairly new package tinythemes arrived on CRAN today. tinythemes provides the theme_ipsum_rc() function from hrbrthemes by Bob Rudis in a zero (added) dependency way. A simple example is (also available as a demo inside the package) contrasts the default style (on left) with the one added by this package (on the right): This version mostly just updates to the newest releases of ggplot2 as one must, and takes advantage of Bob s update to hrbrthemes yesterday. The full set of changes since the initial CRAN release follows.

Changes in spdl version 0.0.2 (2024-03-04)
  • Added continuous integrations action based on r2u
  • Added demo/ directory and a READNE.md
  • Minor edits to help page content
  • Synchronised with ggplot2 3.5.0 via hrbrthemes

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the repo where comments and suggestions are welcome. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

3 March 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.1.0 on CRAN: Upstream Fix, Interface Polish

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1130 other packages on CRAN, downloaded 32.8 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 578 times according to Google Scholar. This release brings a new upstream bugfix release Armadillo 12.8.1 prepared by Conrad yesterday. It was delayed for a few hours as CRAN noticed an error in one package which we all concluded was spurious as it could be reproduced outside of the one run there. Following from the previous release, we also use the slighty faster Lighter header in the examples. And once it got to CRAN I also updated the Debian package. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.1.0 (2024-03-02)
  • Upgraded to Armadillo release 12.8.1 (Cortisol Injector)
    • Workaround in norm() for yet another bug in macOS accelerate framework
  • Update README for RcppArmadillo usage counts
  • Update examples to use '#include <RcppArmadillo/Lighter>' for faster compilation excluding unused Rcpp features

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

28 February 2024

Dirk Eddelbuettel: RcppEigen 0.3.4.0.0 on CRAN: New Upstream, At Last

We are thrilled to share that RcppEigen has now upgraded to Eigen release 3.4.0! The new release 0.3.4.0.0 arrived on CRAN earlier today, and has been shipped to Debian as well. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. This update has been in the works for a full two and a half years! It all started with a PR #102 by Yixuan bringing the package-local changes for R integration forward to usptream release 3.4.0. We opened issue #103 to steer possible changes from reverse-dependency checking through. Lo and behold, this just stalled because a few substantial changes were needed and not coming. But after a long wait, and like a bolt out of a perfectly blue sky, Andrew revived it in January with a reverse depends run of his own along with a set of PRs. That was the push that was needed, and I steered it along with a number of reverse dependency checks, and occassional emails to maintainers. We managed to bring it down to only three packages having a hickup, and all three had received PRs thanks to Andrew and even merged them. So the plan became to release today following a final fourteen day window. And CRAN was convinced by our arguments that we followed due process. So there it is! Big big thanks to all who helped it along, especially Yixuan and Andrew but also Mikael who updated another patch set he had prepared for the previous release series. The complete NEWS file entry follows.

Changes in RcppEigen version 0.3.4.0.0 (2024-02-28)
  • The Eigen version has been upgrade to release 3.4.0 (Yixuan)
  • Extensive reverse-dependency checks ensure only three out of over 400 packages at CRAN are affected; PRs and patches helped other packages
  • The long-running branch also contains substantial contributions from Mikael Jagan (for the lme4 interface) and Andrew Johnson (revdep PRs)

Courtesy of CRANberries, there is also a diffstat report for the most recent release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

8 February 2024

Dirk Eddelbuettel: RcppArmadillo 0.12.8.0.0 on CRAN: New Upstream, Interface Polish

armadillo image Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language and is widely used by (currently) 1119 other packages on CRAN, downloaded 32.5 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 575 times according to Google Scholar. This release brings a new (stable) upstream (minor) release Armadillo 12.8.0 prepared by Conrad two days ago. We, as usual, prepared a release candidate which we tested against the over 1100 CRAN packages using RcppArmadillo. This found no issues, which was confirmed by CRAN once we uploaded and so it arrived as a new release today in a fully automated fashion. We also made a small change that had been prepared by GitHub issue #400: a few internal header files that were cluttering the top-level of the include directory have been moved to internal directories. The standard header is of course unaffected, and the set of full / light / lighter / lightest headers (matching we did a while back in Rcpp) also continue to work as one expects. This change was also tested in a full reverse-dependency check in January but had not been released to CRAN yet. The set of changes since the last CRAN release follows.

Changes in RcppArmadillo version 0.12.8.0.0 (2024-02-06)
  • Upgraded to Armadillo release 12.8.0 (Cortisol Injector)
    • Faster detection of symmetric expressions by pinv() and rank()
    • Expanded shift() to handle sparse matrices
    • Expanded conv_to for more flexible conversions between sparse and dense matrices
    • Added cbrt()
    • More compact representation of integers when saving matrices in CSV format
  • Five non-user facing top-level include files have been removed (#432 closing #400 and building on #395 and #396)

Courtesy of my CRANberries, there is a diffstat report relative to previous release. More detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

2 February 2024

Dirk Eddelbuettel: RQuantLib 0.4.21 on CRAN: Maintenance

A new minor release 0.4.21 of RQuantLib arrived at CRAN this afternoon, and has already been uploaded to Debian as well. QuantLib is a rather comprehensice free/open-source library for quantitative finance. RQuantLib connects (some parts of) it to the R environment and language, and has been part of CRAN for more than twenty years (!!) as it was one of the first packages I uploaded there. This release of RQuantLib benefits from some kind attention that Jeroen has been paying to how we build (especially at CRAN) on both macOS and Windows. So the build processes are a little better now, and no internal code changed. QuantLib 1.33 built unchanged.

Changes in RQuantLib version 0.4.21 (2024-02-01)
  • Generalize macOS build to universal build (Jeroen in #179)
  • Generalize Windows build to arm64 (Jeroen in #181)
  • Generalize version string use to support cmake use (Jeroen in #181 fixing #180)
  • Minor update to 'ci.yaml' github action (Dirk)

Courtesy of my CRANberries, there is also a diffstat report for the this release. As always, more detailed information is on the RQuantLib page. Questions, comments etc should go to the rquantlib-devel mailing list. Issue tickets can be filed at the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

31 January 2024

Dirk Eddelbuettel: dtts 0.1.2 on CRAN: Maintenance

Leonardo and I are happy to announce the release of a very minor maintenance release 0.1.2 of our dtts package which has been on CRAN for a little under two years now. dtts builds upon our nanotime package as well as the beloved data.table to bring high-performance and high-resolution indexing at the nanosecond level to data frames. dtts aims to offers the time-series indexing versatility of xts (and zoo) to the immense power of data.table while supporting highest nanosecond resolution. This release follows yesterday s long-awaited release of data.table version 1.5.0 which had been some time in the making as the first new major.minor release since Matt drifted into being less active and the forefront. The release also renamed the one C-level API accessor to data.table (which was added, if memory serves, by Leonardo with our use in mind). So we have to catch up to the renamed identifier; this release does that, and adds a versioned imports statement on data.table. The short list of changes follows.

Changes in version 0.1.2 (2024-01-31)
  • Update the one exported C-level identifier from data.table following its 1.5.0 release and a renaming
  • Routine continuous integration updates

Courtesy of my CRANberries, there is also a report with diffstat for this release. Questions, comments, issue tickets can be brought to the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

25 January 2024

Dirk Eddelbuettel: qlcal 0.0.10 on CRAN: Calendar Updates

The tenth release of the qlcal package arrivied at CRAN today. qlcal delivers the calendaring parts of QuantLib. It is provided (for the R package) as a set of included files, so the package is self-contained and does not depend on an external QuantLib library (which can be demanding to build). qlcal covers over sixty country / market calendars and can compute holiday lists, its complement (i.e. business day lists) and much more. Examples are in the README at the repository, the package page, and course at the CRAN package page. This releases synchronizes qlcal with the QuantLib release 1.33 and its updates to 2024 calendars.

Changes in version 0.0.10 (2024-01-24)
  • Synchronized with QuantLib 1.33

Courtesy of my CRANberries, there is a diffstat report for this release. See the project page and package documentation for more details, and more examples. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

24 January 2024

Dirk Eddelbuettel: RApiDatetime 0.0.9 on CRAN: Maintenance

A new maintenance release of our RApiDatetime package is now on CRAN RApiDatetime provides a number of entry points for C-level functions of the R API for Date and Datetime calculations. The functions asPOSIXlt and asPOSIXct convert between long and compact datetime representation, formatPOSIXlt and Rstrptime convert to and from character strings, and POSIXlt2D and D2POSIXlt convert between Date and POSIXlt datetime. Lastly, asDatePOSIXct converts to a date type. All these functions are rather useful, but were not previously exported by R for C-level use by other packages. Which this package aims to change. This release responds to a CRAN request to clean up empty macros and sections in Rd files. Moreover, because the windows portion of the corresponding R-internal code underwent some changes, our (#ifdef conditional) coverage here is a little behind and created a warning under the newer UCRT setup. So starting with this release we are back to OS_type: unix meaning there will not be any Windows builds at CRAN. If you would like that to change, and ideally can work in the Windows portion, do not hesitate to get in touch. Details of the release follow based on the NEWS file.

Changes in RApiDatetime version 0.0.9 (2024-01-23)
  • Replace auto-generated stale RApitDatetime-package.Rd with macro-filled stanza to satisfy CRAN request.

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

Dirk Eddelbuettel: RcppAnnoy 0.0.22 on CRAN: Maintenance

annoy image A very minor maintenance release, now at version 0.0.22, of RcppAnnoy has arrived on CRAN. RcppAnnoy is the Rcpp-based R integration of the nifty Annoy library by Erik Bernhardsson. Annoy is a small and lightweight C++ template header library for very fast approximate nearest neighbours originally developed to drive the Spotify music discovery algorithm. It had all the buzzwords already a decade ago: it is one of the algorithms behind (drum roll ) vector search as it finds approximate matches very quickly and also allows to persist the data. This release responds to a CRAN request to clean up empty macros and sections in Rd files. Details of the release follow based on the NEWS file.

Changes in version 0.0.22 (2024-01-23)
  • Replace empty examples macro to satisfy CRAN request.

Courtesy of my CRANberries, there is also a diffstat report for this release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

22 January 2024

Dirk Eddelbuettel: x13binary 1.1.60 on CRAN: Upstream Update, Updated Build

The x13binary team is thrilled to share the availability of Release 1.1.60-1 of the x13binary package providing the X-13ARIMA-SEATS program by the US Census Bureau which arrived on CRAN earlier today. This release brings the package up to speed with the most current release by the Census Bureau. More importantly, we finally made good on an old promise to ourselves and now install the binary by compiling from its Fortran sources! No more pre-made binaries. This required some work by Kirill, Michael, and Jeroen to finalize matter because, as we all know, the CRAN build processes and tool chains can be a little byzantine in their details. Use on platforms not covered by binaries from CRAN (or r-universe) should just work too as the demands on the (Fortran) compiler are fairly standard. All in all the build is fairly lightweight and quick even when rebuilding from source. Courtesy of my CRANberries, there is also a diffstat report for this release showing changes to the previous release. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

Dirk Eddelbuettel: RProtoBuf 0.4.22 on CRAN: Updated Windows Support!

A new maintenance release 0.4.22 of RProtoBuf arrived on CRAN earlier today. RProtoBuf provides R with bindings for the Google Protocol Buffers ( ProtoBuf ) data encoding and serialization library used and released by Google, and deployed very widely in numerous projects as a language and operating-system agnostic protocol. This release matches the recent 0.4.21 release which enabled use of the package with newer ProtoBuf releases. Tomas has been updating the Windows / rtools side of things, and supplied us with simple PR that will enable building with those updated versions once finalised. The following section from the NEWS.Rd file has full details.

Changes in RProtoBuf version 0.4.22 (2022-12-13)
  • Apply patch by Tomas Kalibera to support updated rtools to build with newer ProtoBuf releases on windows

Thanks to my CRANberries, there is a diff to the previous release. The RProtoBuf page has copies of the (older) package vignette, the quick overview vignette, and the pre-print of our JSS paper. Questions, comments etc should go to the GitHub issue tracker off the GitHub repo. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

12 January 2024

Dirk Eddelbuettel: RcppSpdlog 0.0.16 on CRAN: New Upstream

Version 0.0.16 of RcppSpdlog is now on CRAN and will be uploaded to Debian. RcppSpdlog bundles spdlog, a wonderful header-only C++ logging library with all the bells and whistles you would want that was written by Gabi Melman, and also includes fmt by Victor Zverovich. You can learn more at the nice package documention site. This releases updates the code to the version 1.13 of spdlog which was release this morning. The NEWS entry for this release follows.

Changes in RcppSpdlog version 0.0.16 (2024-01-12)
  • Upgraded to upstream releases spdlog 1.13.0

Courtesy of my CRANberries, there is also a diffstat report. More detailed information is on the RcppSpdlog page, or the package documention site. If you like this or other open-source work I do, you can sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

Dirk Eddelbuettel: RDieHarder 0.2.6 on CRAN: Maintenance

An new version 0.2.6 of the random-number generator tester RDieHarder (based on the DieHarder suite developed / maintained by Robert Brown with contributions by David Bauer and myself along with other contributors) is now on CRAN (and to the day year after the previous release). This release contains changes to printf format strings to avoid new warnings on Windows. No functional changes have been made. Thanks to CRANberries, you can also look at the most recent diff to the previous release. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

Dirk Eddelbuettel: digest 0.6.34 on CRAN: Maintanance

Release 0.6.34 of the digest package arrived at CRAN today and has also been uploaded to Debian already. digest creates hash digests of arbitrary R objects. It can use a number different hashing algorithms (md5, sha-1, sha-256, sha-512, crc32, xxhash32, xxhash64, murmur32, spookyhash, blake3, and crc32c), and ebales easy comparison of (potentially large and nested) R language objects as it relies on the native serialization in R. It is a mature and widely-used package (with 63.8 million downloads just on the partial cloud mirrors of CRAN which keep logs) as many tasks may involve caching of objects for which it provides convenient general-purpose hash key generation to quickly identify the various objects. (Oh and we also just passed the 20th anniversary of the initial CRAN upload. Time flies, as they say.) This release contains small (build-focussed) enhancements contributed by Michael Chirico, and another set of fixed for printf format warnings this time on Windows. My CRANberries provides a summary of changes to the previous version. For questions or comments use the issue tracker off the GitHub repo. If you like this or other open-source work I do, you can now sponsor me at GitHub.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

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