[phylotastic] MCMCglmm 2.36

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

#rstats

MCMCglmm 2.36 · r-universe/phylotastic@0f9b65f

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub
#Rstats #GenomicsIO fraq: A high-throughput extensible toolkit for processing fastq data github.com/traversc/fraq

GitHub - traversc/fraq
#Rstats #GenomicsIO
fraq: A high-throughput extensible toolkit for processing fastq data
https://github.com/traversc/fraq

Thanks to this share — https://masto.deoan.org/@neurovagrant/115786726436202169 — I now have an C-backed #RStats package {roast} for decoding OAST domains (which shld help nail down some campaigns better @ $WORK).

Never bothered to look into OAST before b/c we weren't extracting payload stages and I cld not care less about bug bounty hunters.

Gotta make a DuckDB SQL function for this now.

https://ray.so/JSBmMM4

[phylotastic] MCMCglmm 2.36

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

#rstats

MCMCglmm 2.36 · r-universe/phylotastic@0f9b65f

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub
R2G2: A Python-R Framework for Seamless Integration of R/Bioconductor Tools into Galaxy www.biorxiv.org/content/10.6... #rstats 🧬🖥️🧪 github.com/BlankenbergL...

Visualizar datos categóricos mullí dimensionales
Titanic

#Rstats Curso de Estadistica #CostaRica Software Libre

The end of my 2024 Rugby League data visualisation project focussing on St Helens Saints, rounding up game 30 of the 2024 season, the season as a whole and what I learnt from the project - https://fulltimesportsfan.wordpress.com/2025/12/26/saints-ahoy-game-30-2024-season-round-up-and-an-overall-summary-of-the-whole-project/ #RugbyLeague #DataVisualisation #rstats

[phylotastic] MCMCglmm 2.36

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

#rstats

MCMCglmm 2.36 · r-universe/phylotastic@0f9b65f

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub

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