Sharing #Philippines beauty via my latest package {palettephines} on CRAN. These palettes anchor to BBCH & Reef Health standards.

3 years in public office taught me that viz must be both statistically and culturally relevant to my people.

Not a replacement for LISA/Moran’s I in EDA, but a domain-specific layer.

Vignette: https://pinasr.r-universe.dev/articles/palettephines/palettephines-intro.html

#RSpatial #RStats #CRAN #OpenSource

📮You've got mail! 💌

We are thrilled to invite you to "Where do R packages live?" a discussion with folks from the #R foundation, #CRAN #Bioconductor #R-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.

#softwaredev #opensource

🚀 roroph v0.1.1 is live on CRAN! 🚢⚓️

Digitizing the fragmented maritime links of the Philippines into a unified framework for archipelagic spatial modeling. In an archipelago, the "road" is the sea. 🌊

Features:
✅ Directed topology for 108 core RoRo links (2024-26)
✅ GADM-standardized naming (45 provinces)
✅ Dynamic weights: frequency, travel time, and capacity

💻 Source: https://github.com/phl-r/roroph

📖 Guide: https://njtalingting.r-universe.dev/articles/roroph/roroph_guide.html

#RStats #OpenData #SpatialEconomics #Philippines #CRAN #Maritime

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