collapse
@rcollapse.bsky.social
A C/C++-based R package for advanced statistical computing and data trans-formation. Website: https://sebkrantz.github.io/collapse Author: @sebkrantz.bsky.social
{collapse} 2.1.0 is out! It introduces a new fslice() function (sebkrantz.github.io/collapse/ref...), a new theory-consistent weighted quantile algorithm (sebkrantz.github.io/collapse/ref...) with excellent properties. And some convenience features such as join requirements: #rstats #DataScience
March 10, 2025 at 9:53 PM
{collapse} 2.1.0 is out! It introduces a new fslice() function (sebkrantz.github.io/collapse/ref...), a new theory-consistent weighted quantile algorithm (sebkrantz.github.io/collapse/ref...) with excellent properties. And some convenience features such as join requirements: #rstats #DataScience
Reposted by collapse
The {collapse} (@rcollapse.bsky.social) arXiv paper has just been updated - following extensive revision: arxiv.org/abs/2403.05038. I believe it is a great resource for anyone doing scientific computing with #rstats.
collapse: Advanced and Fast Statistical Computing and Data Transformation in R
collapse is a large C/C++-based infrastructure package facilitating complex statistical computing, data transformation, and exploration tasks in R - at outstanding levels of performance and memory eff...
arxiv.org
February 6, 2025 at 1:34 PM
The {collapse} (@rcollapse.bsky.social) arXiv paper has just been updated - following extensive revision: arxiv.org/abs/2403.05038. I believe it is a great resource for anyone doing scientific computing with #rstats.
There is now a #fastverse benchmark wiki (github.com/fastverse/fa...) where users can freely contribute benchmarks. If you have benchmarks involving {fastverse} packages ({collapse}, {data.table}, etc., including extensions) please contribute them (takes 1 min) #rstats #DataScience
Benchmarks
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R - fastverse/fastverse
github.com
February 3, 2025 at 5:36 PM
There is now a #fastverse benchmark wiki (github.com/fastverse/fa...) where users can freely contribute benchmarks. If you have benchmarks involving {fastverse} packages ({collapse}, {data.table}, etc., including extensions) please contribute them (takes 1 min) #rstats #DataScience
It's nice to see an increasing number of #rstats packages use {collapse}. A developer focused vignette was long planned and now it is here - with modest advice on writing efficient R package code in general and using {collapse} in particular: sebkrantz.github.io/collapse/art...
Developing with collapse
sebkrantz.github.io
December 27, 2024 at 5:10 PM
It's nice to see an increasing number of #rstats packages use {collapse}. A developer focused vignette was long planned and now it is here - with modest advice on writing efficient R package code in general and using {collapse} in particular: sebkrantz.github.io/collapse/art...