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

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

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

We just released caugi 1.1.0 on CRAN! 🚀

caugi is a causal graph toolkit in R that maches blazing speed with an intuitive and feature-rich interface.

New features in 1.1.0 include:

- Algorithms for minimal minimal d separators and normalizing the latent structure of a graph
- Functionality for checking if a graph is a Maximally Oriented Partially Directed Acyclic Graph (MPDAG)
- Various bug fixes and improvements to the code base

https://github.com/frederikfabriciusbjerre/caugi/releases/tag/v1.1.0

#causality #graphs #R #CRAN

Got featured in #RWeekly under R in Academia! 🗞️

In the article, I discuss the limitations of standard spatial models in capturing a structural network for archipelagic nations like the #Philippines, and how #ArchipelagoEngine (now on #CRAN) addresses this gap.

Huge thanks to the @rweekly team, especially Jon Calder for the review and Jonathan Carroll for merging my last-minute revision!

🔗 Check it out @ https://rweekly.org/#RinAcademia

#RStats #SpatialEconometrics #OpenScience #AcademicMastodon

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

http://andreanini.com/2026/03/15/idiolect-an-r-package-for-forensic-authorship-analysis/

Hello #rstats and #rspatial world! 👋

I’m NJ, an R developer focusing on archipelagic spatial econometrics. I’ve just released the #ArchipelagoEngine on CRAN to address the "Continental Fallacy" in geographic models, using my home country of the Philippine as case study. 🌏

Excited to connect with folks working on spatial bias, open science, and FOSS!

Read my impact vignette here: https://njtalingting.r-universe.dev/articles/ArchipelagoEngine/rtl_impact.html

#Introduction #DataScience #OpenSource #Geography #CRAN #RWeekly

02.03.2026

1. LES BAVARIANS - kamikaze de l´amour
2. CRAN - la meute
3. LANDOWNER - gun nut
4. POLLY & THE POCKETS - live to loathe
5. WIRE DOLL - axis
6. JAMES WHITE & THE BLACKS - tropical heatwave
7. FAINE PINKL - unknown
8. BADABOUM - scha

https://www.subjektiv.net/02-03-2026/

#2026 #BADABOUM #BRIGITTENRV #CRAN #DRAMER #FAINEPINKL #FALL #JAMESWHITETHEBLACKS #LANDOWNER #LESBAVARIANS #MARICRUZSORIANOYLOSQUEAFINANSUPIANO #METALURBAIN # #POLLYTHEPOCKETS #TINCANARMY #WIREDOLL

#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.

Samplyr is an #Rstats package providing a tidy, readable way to describe and run complex #sampling designs in #R. Multi-stage, stratified, PPS, sample coordination with permanent random numbers & more are supported.

People coming from SAS SURVEYSELECT or SPSS CSPLAN, should feel at home.

Release to #CRAN soon. For now it's under active development on #Gitlab (w/ a Github mirror). #Survey #Methodology #Statistics

👉 https://dickoa.gitlab.io/samplyr/index.html
👉 https://gitlab.com/dickoa/samplyr
👉 https://github.com/dickoa/samplyr

Searching the interwebz: "read markdown table in R cran". First hit: CRAN package: {readMDtable} :,-D

There surely must be an R package for everything, right? I really did not expect that there's a separate package for this.

#rstats #cran

I just released {scholid} to CRAN 🎉

A lightweight, dependency-free R package for detecting, normalizing, classifying, and extracting scholarly identifiers (DOI, ORCID, ISBN, ISSN, arXiv, PubMed).

Designed as a small, well-tested foundation for other R packages and data workflows.

📖 Documentation: https://thomas-rauter.github.io/scholid/

#rstats #CRAN #opensource