setweaver: Building Sets of Variables in a Probabilistic Framework

Create sets of variables based on a mutual information approach. In this context, a set is a collection of distinct elements (e.g., variables) that can also be treated as a single entity. Mutual information, a concept from probability theory, quantifies the dependence between two variables by expressing how much information about one variable can be gained from observing the other. Furthermore, you can analyze, and visualize these sets in order to better understand the relationships among variables.

Version:	1.0.0
Depends:	R (≥ 4.1.0)
Imports:	dplyr (≥ 1.1.4), igraph (≥ 2.1.2), permutes (≥ 2.8), pheatmap (≥ 1.0.13), splitTools (≥ 1.0.1)
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-02-04
DOI:	10.32614/CRAN.package.setweaver (may not be active yet)
Author:	Nicolas Leenaerts [aut, cre, cph], Aaron Fisher [aut, cph]
Maintainer:	Nicolas Leenaerts <nicolas.leenaerts at kuleuven.be>
License:	CC BY 4.0
URL:	https://github.com/nicolasleenaerts/setweaver
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	setweaver results

Documentation:

Reference manual:	setweaver.html , setweaver.pdf
Vignettes:	setweaver (source, R code)

Downloads:

Package source:	setweaver_1.0.0.tar.gz
Windows binaries:	r-devel: setweaver_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): setweaver_1.0.0.tgz, r-oldrel (x86_64): setweaver_1.0.0.tgz

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