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#cran — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cran, aggregated by home.social.

  1. For segfault lovers #CRAN Release of Rtinycc v0.1.8 For 'C' Scripting in #RStats Binding to libctcc and a declarative C FFI framework including thread safe R callbacks in C Code The package remove the R2C code transformation work to a coming downstream work github.com/sounkou-bioi...

  2. 📮You've got mail! 💌

    We are thrilled to invite you to "Where do R packages live?" a discussion with folks from the foundation, -universe and @Posit

    Let's learn from our panel about the ins-and-outs of where you might want to create a home for your R software 📦

    Register today!

    📆 Wed 20 May 2026
    ⏰ 5:00 PM AEST | 7:00 AM UTC
    🔗 statsoc.org.au/event-6653060

    Looking forward to nerdy chats with @visnut Stevie P. @jeroenooms and Valerie B.

  3. #r2u had its first 'four million packages delivered' month in March (beating even the two-day Sep 2023 outlier) bringing the total to over 72 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  4. #r2u had its first 'four million packages delivered' month in March (beating even the two-day Sep 2023 outlier) bringing the total to over 72 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  5. #r2u had its first 'four million packages delivered' month in March (beating even the two-day Sep 2023 outlier) bringing the total to over 72 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  6. #r2u had its first 'four million packages delivered' month in March (beating even the two-day Sep 2023 outlier) bringing the total to over 72 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  7. #r2u had its first 'four million packages delivered' month in March (beating even the two-day Sep 2023 outlier) bringing the total to over 72 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  8. robscale 0.5.3 is now on CRAN: A major update since the last public release (0.2.1).

    New: 11 robust estimators with confidence intervals, plus a variance-weighted ensemble combining seven scale statistics via bootstrap. Newton–Raphson replaces scoring iteration (2–4 steps vs 6–8), a fused AVX2 kernel does NR accumulation in one data pass, and all input validation runs in C++ with zero R-side allocation.

    Speedups vs existing implementations:

    Small samples (n ≤ 20):
    • robScale/robLoc: 4–5× vs revss 3.1.0
    • Qn: 6× vs robustbase
    • MAD: 21–26× vs stats::mad
    • IQR: 37× vs stats::IQR

    Mid-to-large samples (n ≥ 1000):
    • robScale: 2–4× vs revss
    • Sn: 7–9× vs robustbase
    • MAD: 5–8× vs stats::mad
    • IQR: 5–7× vs stats::IQR
    • GMD: 2–8× vs GiniDistance

    cran.r-project.org/package=rob
    github.com/davdittrich/robscale

    #RStats #Statistics #RobustStatistics #CRAN #DataScience #OpenSource

  9. My #RStats package for forensic authorship analysis, 'idiolect', now has an associated paper published in the Journal of Open Source Software: doi.org/10.21105/joss.07575. New release of idiolect, 1.2.0, also available from #CRAN.
    #forensic #linguistics

    andreanini.com/2026/03/15/idio

  10. #r2u had its first 'three point five million packages delivered' month in February (outside that two-day Sep 2023 outlier) bringing the total to over 68 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  11. #r2u had its first 'three point five million packages delivered' month in February (outside that two-day Sep 2023 outlier) bringing the total to over 68 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  12. #r2u had its first 'three point five million packages delivered' month in February (outside that two-day Sep 2023 outlier) bringing the total to over 68 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  13. #r2u had its first 'three point five million packages delivered' month in February (outside that two-day Sep 2023 outlier) bringing the total to over 68 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  14. #r2u had its first 'three point five million packages delivered' month in February (outside that two-day Sep 2023 outlier) bringing the total to over 68 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  15. Sometimes (often) one ends up needing to run older versions of R using older versions of packages. Evercran might be just the tool to help with that: github.com/r-hub/evercran#read #RStats #docker #Cran #Rcheology

  16. We Made It! 🎉

    25 days. Complete modern R package development workflow. From usethis automation to CRAN submission. You have everything you need!

    Your Next Steps:
    ✨ Apply these tools to your packages
    📚 Bookmark for reference
    🤝 Share knowledge with community
    🚀 Build amazing R packages

    Thank you for following ! Now go make the R ecosystem better! 🎄📦
    Keep Learning: r-pkgs.org | usethis.r-lib.org

  17. Oh and don't get me started with all this package version mismatch in #Python.
    What absolute nonsense!

    #rstats #cran is not perfect, but I have never ever had an issue with versions not matching between packages.

  18. Thankfully temporary but I must have caught the CRAN website on a config change or something...back now but for the record I might need blood pressure medication if I see this again 😅

    #CRAN #RStats

  19. Sometimes (often) one ends up needing to run older versions of R using older versions of packages. Evercran might be just the tool to help with that: github.com/r-hub/evercran#read #RStats #docker #Cran #Rcheology

  20. Dear R developers and CRAN maintainers, I wonder if you can kindly help me understand how I should deal with the import of some packages and package functions. Despite reading "R Packages" (eg <r-pkgs.org/dependencies-mindse>) and "Writing R Extensions" (eg <cran.r-project.org/doc/manuals>), I'm still unsure how to deal with the following situation.

    Suppose you have a package with the following requirements:

    1. *One* function in your package, say "funA" requires a whole package, say PKGA. *However*, the function only uses PKGA in a separate (parallel::makeCluster) process. This function is fundamental to your package, in the sense that the user will surely use it at least once in their workflow.

    2. Another function in your package, say "funB", requires two functions "aux1" and "aux2" from another package, say PKGB. The user might use this function, or maybe not. In your code (no parallel invocation), the functions are called with PKGB::aux1 etc.

    3. The two functions "aux1" and "aux2" from PKGB are also available in PKGA. You'd like to be sure that the user can choose freely which ones they want in their workflow, alongside your package. In other words, no masking should take place a priori.

    Given these conditions, what should NAMESPACE and DESCRIPTION contain? With Roxygen, where should I use @ import and @ importFrom? and what about usethis::use_import()?

    Thank you very much for any tips or extra references to read!

    Edit: for the moment, my solution has been to include PKGA, PKGB, and parallel in the Imports field of the DESCRIPTION file, but not to have these three packages in the NAMESPACE file as Import(). This seems to achieve what i want, but I'm not sure it's the "proper" solution.

    #rstats #cran

  21. #r2u had its first 'three million packages delivered' month in September (outside that two-day Sep 2023 outlier) bringing the total to over 54 million #CRAN #Rstats packages shipped as #Ubuntu .deb binaries.

    #r2u. Fast. Easy. Reliable. Pick All Three.

  22. I see that the #CRAN downloads most likely maintained by @posit.co have not refreshed again, been a wicked few weeks meaning since the last outage.

  23. Dependencies and reverse dependencies: Python vs. R: Julie Tibshirani reflects on how the #R ecosystem uniquely manages dependencies through reverse dependency checks on #CRAN. R’s approach comes at a cost to developers, but also fosters a culture of empathy and responsibility among package...
    spatialists.ch/posts/2025/09/2 #GIS #GISchat #geospatial #SwissGIS

  24. tandis que le CRAN organise la cohérence entre les différentes versions de ses packages, ce travail d'alignement fait malheureusement défaut dans Pypi, raison pour laquelle Bruno Rodrigues plaide pour un meilleur contrôle des packages dans PyPi sous l'aspect de leur interopérabilité avec les autres packages qu'il contient brodrigues.co/posts/2025-08-22 #Pypi #CRAN #DependencyHell

  25. #RandomWalker is updated and out to #CRAN look for a blog post tomorrow as I’ve had it ready for a little bit now #rstats #r #random

  26. Following packages were maintained and are back on now thanks to Andrej Spiess

    - , 2025-06-18, Digital PCR Analysis <10.32614/CRAN.package.dpcR>
    - , 2025-06-11, Nucleic Acid Melting Curve Analysis (journal.r-project.org/articles)
    - , 2025-06-10, Modelling and Analysis of Real-Time PCR Data <doi10.1093/bioinformatics/btn227>
    - , 2025-06-13, Quantitative () Data Mining and Machine Learning Toolkit as Described in <doi:10.21105/Joss.04407>

  27. Sometimes (often) one ends up needing to run older versions of R using older versions of packages. Evercran might be just the tool to help with that: github.com/r-hub/evercran#read #RStats #docker #Cran #Rcheology

  28. chromConverter 0.7.5 is finally available on CRAN! Major changes since v0.2.1 include support for 10+ new file formats (Shimadzu LCD/QGD, Agilent D, Varian SMS, Allotrope ASM, ANDI MS/CHROM, mzML), parallel processing, and improved metadata extraction.
    cran.r-project.org/web/package
    #rstats #CRAN #chromatography #opendata

  29. Sometimes (often) one ends up needing to run older versions of R using older versions of packages. Evercran might be just the tool to help with that: github.com/r-hub/evercran#read #RStats #docker #Cran #Rcheology

  30. Last week, I updated #adegenet on #CRAN. This is an important update as it fixes a memory overflow problem for SNP data that has existed since 2016.

    If you use #PopGen packages that import adegenet (e.g. #poppr, #vcfR, or #dartR), then you should update.

    cran.r-project.org/web/package

    #RStats

  31. Last week, I updated #adegenet on #CRAN. This is an important update as it fixes a memory overflow problem for SNP data that has existed since 2016.

    If you use #PopGen packages that import adegenet (e.g. #poppr, #vcfR, or #dartR), then you should update.

    cran.r-project.org/web/package

    #RStats

  32. Last week, I updated on . This is an important update as it fixes a memory overflow problem for SNP data that has existed since 2016.

    If you use packages that import adegenet (e.g. , , or ), then you should update.

    cran.r-project.org/web/package

  33. Last week, I updated #adegenet on #CRAN. This is an important update as it fixes a memory overflow problem for SNP data that has existed since 2016.

    If you use #PopGen packages that import adegenet (e.g. #poppr, #vcfR, or #dartR), then you should update.

    cran.r-project.org/web/package

    #RStats

  34. Last week, I updated #adegenet on #CRAN. This is an important update as it fixes a memory overflow problem for SNP data that has existed since 2016.

    If you use #PopGen packages that import adegenet (e.g. #poppr, #vcfR, or #dartR), then you should update.

    cran.r-project.org/web/package

    #RStats

  35. Sometimes (often) one ends up needing to run older versions of R using older versions of packages. Evercran might be just the tool to help with that: github.com/r-hub/evercran#read #RStats #docker #Cran #Rcheology

  36. R you ready for an #rgbif update? Version 3.8.1 📦 is on #CRAN now!
    👀 New features:
    ◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
    🐞 Bug fixes:
    ◼️occ_download_cached() bug fixed.

    Learn more: 🔗 buff.ly/3ZPuI4F

  37. R you ready for an #rgbif update? Version 3.8.1 📦 is on #CRAN now!
    👀 New features:
    ◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
    🐞 Bug fixes:
    ◼️occ_download_cached() bug fixed.

    Learn more: 🔗 buff.ly/3ZPuI4F

  38. R you ready for an #rgbif update? Version 3.8.1 📦 is on #CRAN now!
    👀 New features:
    ◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
    🐞 Bug fixes:
    ◼️occ_download_cached() bug fixed.

    Learn more: 🔗 buff.ly/3ZPuI4F

  39. R you ready for an #rgbif update? Version 3.8.1 📦 is on #CRAN now!
    👀 New features:
    ◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
    🐞 Bug fixes:
    ◼️occ_download_cached() bug fixed.

    Learn more: 🔗 buff.ly/3ZPuI4F

  40. R you ready for an #rgbif update? Version 3.8.1 📦 is on #CRAN now!
    👀 New features:
    ◼️ New function occ_download_sql() for downloading occurrence data using SQL queries
    🐞 Bug fixes:
    ◼️occ_download_cached() bug fixed.

    Learn more: 🔗 buff.ly/3ZPuI4F

  41. New version 0.2.2 of :rstats: 📦 distributions3 on , together with @alexpghayes

    - Object-oriented computations on (vectors of) probability distributions

    - More model-based probabilistic forecasts

    - simulate() from fitted likelihood models

    - Support in in addition to data.frame

    Documentation at:

    alexpghayes.github.io/distribu

  42. @Lluis_Revilla my oldest package is on since 2012-08-31. It has the fewest dependencies. I cannot remember that it was removed once. has the most dependencies. 🤨
    I sincerely hope to get PCRedux back on CRAN. Otherwise, is the venue for the users. I will try my best.

  43. Last December, the package was archived. 🙄
    cran.r-project.org/package=bcp
    As my package 📁 🧬 depends on it, it had a similar fate (like some others). I vainly hoped that its maintainer would bring it back to :rstats:. My plan is in the coming months to incorporate relevant code from bpc into my package or remove the dependent function within my package. Since it is published at [1], this is important for me.
    Let's see when this works out 🤞

    [1] joss.theoj.org/papers/10.21105