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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 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=setweaver
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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