vistla: Detecting Influence Paths with Information Theory

Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.

Getting started

Package details

AuthorMiron B. Kursa [aut, cre] (<>)
MaintainerMiron B. Kursa <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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vistla documentation built on Aug. 18, 2022, 9:06 a.m.