I just released the R package scholidonline to CRAN

scholidonline enables querying of scholarly identifier services to verify identifier existence, convert identifiers across systems, retrieve bibliographic metadata, and discover linked identifiers.
Supports common identifier types including DOI, PMID, PMCID,
arXiv, and ORCID.

Website: https://thomas-rauter.github.io/scholidonline/

#rstats #CRAN #opensource

#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.

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