There are 16 new #rStats packages on CRAN:
- 12.50% are in English.
- 0.00% are in other languages than English.
- 0.00% use multiple languages.
- 87.50% do not declare any language.

I only realize today that the widely used #conda environment tools can only be used under #FreeBSD via the #Linux compact layer. For people not familiar with it, it is kind of like the #venv or #virtualenv tools, allowing multiple versions of #Python coexist. I used #conda, mainly #miniforge or #mambaforge because besides Python, conda also supports #R enrironments. I daily use R #ggplot2 figures generated from animal models and cellular experiments, as well as various #Bioinformatics tools. It is a shock to me conda does not natively support #BSD systems.

#RunBSD #Unix #Rstats

Saw nice charts and info earlier from what seemed to be low-bloat R code - refreshing. Dependency bloat is so pervasive in R going back well over a decade now, I am actually not sure if 'vibe coding' via LLM's will accelerate it or slow it down.
#RStats #Demography #PopMastodon

[phylotastic] TreeDist 2.13.0.9002

Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) ; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) , including the Nye et al. (2006) metric ; the Matching Split Distance (Bogdanowicz & Giaro 2012) ; the Hierarchical Mutual Information (Perotti et al. 2015) ; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance , and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) . Includes tools for visualizing mappings of tree space (Smith 2022) , for identifying islands of trees (Silva and Wilkinson 2021) , for calculating the median of sets of trees, and for computing the information content of trees and splits.

#rstats

[phylotastic] TreeDist 2.13.0.9002

Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) ; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) , including the Nye et al. (2006) metric ; the Matching Split Distance (Bogdanowicz & Giaro 2012) ; the Hierarchical Mutual Information (Perotti et al. 2015) ; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance , and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) . Includes tools for visualizing mappings of tree space (Smith 2022) , for identifying islands of trees (Silva and Wilkinson 2021) , for calculating the median of sets of trees, and for computing the information content of trees and splits.

#rstats

Tricksy upstream P3M "bug" that might be affecting performance in some of your `renv` and `rv` enabled projects on MacOS. #rstats forum.posit.co/t/missing-op...