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:	2.0.3
Depends:	R (≥ 3.5.0)
Imports:	grid
Published:	2024-09-27
DOI:	10.32614/CRAN.package.vistla
Author:	Miron B. Kursa [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_2.0.3.tar.gz
Windows binaries:	r-devel: vistla_2.0.3.zip, r-release: vistla_2.0.3.zip, r-oldrel: vistla_2.0.3.zip
macOS binaries:	r-release (arm64): vistla_2.0.3.tgz, r-oldrel (arm64): vistla_2.0.3.tgz, r-release (x86_64): vistla_2.0.3.tgz, r-oldrel (x86_64): vistla_2.0.3.tgz
Old sources:	vistla archive

Linking:

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