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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 setweaver_1.0.0.tar.gz 208.6 KiB
1.0.0 rolling linux/noble R-4.5 setweaver_1.0.0.tar.gz 208.7 KiB
1.0.0 rolling source/ R- setweaver_1.0.0.tar.gz 210.2 KiB
1.0.0 latest linux/jammy R-4.5 setweaver_1.0.0.tar.gz 208.6 KiB
1.0.0 latest linux/noble R-4.5 setweaver_1.0.0.tar.gz 208.7 KiB
1.0.0 latest source/ R- setweaver_1.0.0.tar.gz 210.2 KiB
1.0.0 2026-04-26 source/ R- setweaver_1.0.0.tar.gz 210.2 KiB
1.0.0 2026-04-23 source/ R- setweaver_1.0.0.tar.gz 210.2 KiB
1.0.0 2026-04-09 windows/windows R-4.5 setweaver_1.0.0.zip 212.6 KiB

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