Async R gets a proper memory model. mirai 2.7.0 and mori 0.2.0 on CRAN: - byte-level dispatcher queue cap: `daemons(memory = ...)` - non-blocking submit on a full queue: `try_mirai()` - mori out of experimental – zero-copy shared memory across processes opensource.posit.co/blog/2026-05... #rstats

We are pleased to announce that Mikael Jagan has joined the R Core Team. #RStats He has been an active contributor to the R project for several years, proposing bug fixes and enhancements. Further, he has been co-authoring/maintaining the important Matrix package and more recently lme4 and glmmTMB.

After seeig some recent commits on the #Rstats source tree around R_TailCall github.com/r-devel/r-sv... , this post from stackoverflow was quite interesting to read #esoterica stackoverflow.com/questions/78...

Quick #r2u update for #Rstats on #Ubuntu: - R 4.6.0 available on all three LTS releases ✅ - BioConductor 3.23 available on all three LTS releases ✅ - Ubuntu 26.04 support available for arm64 and amd64 ✅ #r2u. Fast. Easy. Reliable. Pick all three. eddelbuettel.github.io/r2u/

#RStats package s7contract: 'Go'-Like Interfaces and 'Rust'-Like Traits with 'S7' with progressive runtime type checks opt-in github.com/sounkou-bioi...

the project (of dubious usefulness ) of a DuckDB extension for arbitrary #RStats UDFs for #DuckDB's R client is taking shape, with some optimizations only for the fun of it. Totally thread unsafe for now since queuing tasks of Duckdb worker threads to be executed on the R main thread is dubious

Prompted by this post and the fact that Go-Like Interfaces and S7 where something on my mind for a long time, so i prompted a (sycophantic) LLM to implement a slow Go-Like interfaces on top of S7 (zero type safety, but this can be corrected with) + rust like trait system github.com/sounkou-bioi...

#RStats Playable Doom! Figured out some key handling stuff in my custom graphics device, so I can now actually control the game! Content Warning: I'm not good at doom :)

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...

Very nice post about why you may want your AI / LLM coding session running from inside your #Rstats session. With, as so often with posts by @troyhernandez.bsky.social, a calm and reasoned argument why the tinyverse is so applicable here too.

#duckdnng, a shameless #DuckDB extension which is LLM enabled copy pasta of the excellent handcrafted #Rstats #nanonext C code and API design

I was very happy that i managed to get to compile htslib for the #webr environment and the duckhts bundle in the #RStats package, but then i see that i incorrectly assumed that the #DuckDB platform was wasm_mvp, it is Linux_i686_musl instead

#Bioinformatics #Nextflow #RStats Mostly vibecoded Nextflow R plugin nanoarrow on R side, Arrow in JVM/Groovy side github.com/sounkou-bioi...

Read, discuss, think deeply, and prepare to vote later this week.

Preprint #1: Intrinsic dataset features drive mutational effect prediction by protein language models www.biorxiv.org/content/10.6... @clauswilke.com

Microbial communities can harbor many species that do not coexist in pairs, yet can coexist in the full community. Here we provide the mathematical foundations of emergent coexistence, and explain why it can't be predicted from pairwise tests journals.plos.org/ploscompbiol...

hmmm #Rust #Bioinformatics "rewrites" with #LLMs (looks like the promotional tool is propaganda when comparison is against a not particularly optimized python tools) rewrites.bio

#Ducktinycc 'C' scripting in #Duckdb via #TinyCC Of course what better example than the embedded #RStats example from "Writing R extensions". With a bit more work (and threading issue stuff) this can be extended into some arbitrary R UDFs API for the r-duckdb Repo: github.com/sounkou-bioi...

#RStats #Rduckhts version 1.1.4-0.0.1 released On CRAN Besides hts format I/0, some sequence UDFs and a port of BCFtools score, liftover and munge plugins to run using #DuckDB for post-GWAS ops The R-agnostic #Duckdb community extension update on its way too A funny thing in the ports, floats !

Built a small experiment to render plots inline inside the #rstats console using terminal graphics. It's basically taking a nativeRaster and displaying it directly in the terminal (Sixel / Kitty / etc.). For reference, similar ideas already exist in packages like terminalgraphics and rsixel.

29 years of #rstats community knowledge was sitting in hard-to-search pipermail archives. So I built a more modern home for it. Introducing the R Mailing List Archives: 631,000+ messages from 32 lists, fully searchable and available as open data. r-mailing-lists.thecoatlessprofessor.com

Stop building systems for agents, build systems for human. We need infrastructures to help us holding accountability of agent's code. blog.xiangpeng.systems/posts/stop-b...

Working on a new string encoding technique for {zap} - a package for fast/compact serialization of #RStats objects Char vectors are converted on-the-fly to a dictionary+index (equivalent to converting to a factor). Integer indexes are then compactly bit-packed […] [Original post on fosstodon.org]

We are pleased to announce that Heather Turner @heathrturnr.fosstodon.org.ap.brid.gy has joined the R Core Team. She has been an active contributor notably via the R Dev Days, and has greatly improved cooperation between R Core and the R community in more ways #RStats.

{hypertext} 1.1.0 is out on CRAN. many new features, the most important is probably creation of custom tags via, well, `tag()`. github.com/sigflux/hype... #rstats

Using semantic search to find publicly available gene-expression datasets academic.oup.com/bioinformati... 🧬💻🧪 github.com/srp33/GEO_NLP

today's #rstats package of the day 🏆 is pwrss which made it very easy to compute the power of a difference between correlations cran.r-project.org/web/packages...

HTTP streaming and Server-Sent Events in R with nanonext. Here's an example: gist.github.com/jrosell/178e...

#ridiculousbutcool Embedding #RStats in #Duckdb via #TinyCC and Duckdb's C extensions API

#Duckdb #TinyCC Ridiculous, dangerous but cool ! (very roundabout way to test out ideas of a potential api for a #RStats UDFs extension) Link for segfault lovers : github.com/sounkou-bioi...

Very happy to see Wasm gaining traction as a low barrier to entry alternative for programming thanks to the massive efforts by @quantstack.bsky.social 🎉 We're collecting Wasm resources for bioinformatics and beyond at wasmodic.github.io

A small generative animation made in #rstats using #ggplot2 and my experimental packages, playing with polar lines, hue rotation, and shader-style deformations.

Excited to share my first preprint on federated conditional analysis of rare single variant and aggregate association tests across six genetically-inferred ancestry groups in All of Us and UK Biobank doi.org/10.64898/202...

#rstats 4.5.3 "Reassured Reassurer" scheduled for March 11. Full schedule on developer.r-project.org (or the svn if you're impatient.) This should be the wrap-up release for the 4.5 series.

Hi, I’m this week’s curator, Josi! I‘m a PhD student in statistical genetics 🧬 and use #RStats to do #SEM. I dabble in #DataViz and recently wrote my first #Rpackage. My hobbies are reading #Fantasy books 📚 and #maximalism. You may catch me at a conference matching my outfit to my poster 🤓🧜🏽‍♀️ #rladies

#RStats #tinyverse gurus: is their a mutation testing package out there that is compatible with {tinytest} ?

#Duckdb #htslib #Genomics #Bioinformatics #RStats duckths: Read HTS (VCF/BCF/BAM/CRAM/FASTA/FASTQ/GTF/GFF) files in DuckDB via htslib Rduckhts: 'DuckDB' High Throughput Sequencing File Formats Reader Extension genomic.social/@bioinfhotep...

R4R is a tool for creating a reproducible environment from a dynamic program trace, from our lab in Prague. From a R script/notebook, it generates a Docker image that contains everything to run the R code and reproduce the results. Try it out! Also with an article at ACM REP 2025

#RStats Interesting Work to follow from Workers in the Vitek group crbcc: R bytecode compiler implemented in C github.com/PRL-PRG/crbcc rcp : Copy-and-Patch JIT Compiler for R github.com/PRL-PRG/rcp

Say hello to Nallo - our Nextflow pipeline for long-read WGS analysis!👋 It handles both ONT and PacBio data and we’re using this for rare disease and population projects in Sweden. A big team effort by Felix Lenner, Anders Jemt et al.🧬💻 academic.oup.com/bioinformati...

#RStats When i was looking at some of the perf in quickr readme, i was thinking oh these tails are R's garbage collection pauses, the R-to-C (LLM enabled) rabbit hole i went in makes the pauses worse because it is really R to R's C API and sometimes calling into R via Rf_eval :D

I love R for everything statistics, but I've always been a little jealous of statisticians using SPSS Complex Samples or SAS SURVEYSELECT to design their samples. So I decided to build samplyr, a tidy and pipe-friendly grammar for survey sampling design in #rstats. dickoa.gitlab.io/samplyr/inde...

Feb. update to the LLM+R guide 💪 8 new packages including: code review, predictive modeling, speech-to-text, text-to-speech, HuggingFace integration, Gemini CLI companion, a CLI coding agent written in R🤯 ,and more! available in English 🇱🇷 and Spanish 🇲🇽 luisdva.github.io/llmsr-book/ #rstats

#tinycc based #RStats #C #Transpiler, only 4x slower than #{quickr} for the convolution benchmark ! 2-3x faster than naive #C + marshaling. #tinycc transpilation will have an obvious advantage since it can always fallback when transpiling and use `Rf_lang3` since it has access to R's C runtime !

#Rstats #HPC gurus Is there a package for mixed precision arithmetic that covers most of the exotic new floating points or one needs specialized ML package from the r-xla organization like tengen github.com/r-xla/tengen

First thing to do when you open a #Rstats project in #codex webapp, copy paste the r2u installation docs github.com/eddelbuettel... and tell it to write #Rstats scripts for R package dev instead of snake crap (they RL perl out this model for some unknown reason)

#RStats #Statsky Any references and packages out there on statistical inference around binary outcomes for whom some outcome have no measurement error but the other has ? Should i just use linear models and get over it ?

For those of us R-users who are working with/on #dnanexus (specifically the Our Future Health TRE), I've written a small #rstats package to interact with their `dx` utility and submit jobs (among other things): github.com/comp-med/r-o...

#Rstats to avoid if/else and switch death in this project, a functional and centralized (reviewable) definition of the rules for future improvements, i thought that #{lambda.r} package's (by Brian Lee Yung Rowe) pattern matching would be great github.com/zatonovo/lam...