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.

Version: 2.0.2
Depends: R (≥ 3.5.0)
Imports: grid
Published: 2024-06-06
DOI: NA
Author: Miron B. Kursa ORCID iD [aut, cre]
Maintainer: Miron B. Kursa <m at mbq.me>
License: GPL (≥ 3)
NeedsCompilation: yes
Language: en-GB
Materials: NEWS
CRAN checks: vistla results

Documentation:

Reference manual: vistla.pdf

Downloads:

Package source: vistla_2.0.2.tar.gz
Windows binaries: r-devel: vistla_2.0.2.zip, r-release: vistla_2.0.2.zip, r-oldrel: vistla_2.0.2.zip
macOS binaries: r-release (arm64): vistla_2.0.2.tgz, r-oldrel (arm64): vistla_2.0.2.tgz, r-release (x86_64): vistla_2.0.2.tgz, r-oldrel (x86_64): vistla_2.0.2.tgz
Old sources: vistla archive

Linking:

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