Detecting Influence Paths with Information Theory R package vistla version 2.1.2 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. Software Depends: R (>= 3.5.0) Imports: grid Miron B. Kursa <m@mbq.me> Comprehensive R Archive Network (CRAN) Miron B. Kursa [aut, cre] (ORCID: <https://orcid.org/0000-0001-7672-648X>) GPL (>= 3) 2025-11-27 application/tgz https://CRAN.R-project.org/package=vistla doi:10.32614/CRAN.package.vistla en-GB