Package: vistla 2.1.2

Miron B. Kursa

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.

Authors:Miron B. Kursa [aut, cre]

vistla_2.1.2.tar.gz
vistla_2.1.2.tar.gz(r-4.7-arm64)vistla_2.1.2.tar.gz(r-4.7-x86_64)vistla_2.1.2.tar.gz(r-4.6-arm64)vistla_2.1.2.tar.gz(r-4.6-x86_64)
vistla_2.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
vistla/json (API)
NEWS

# Install 'vistla' in R:
install.packages('vistla', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://gitlab.com/mbq/vistla

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • cchain - Synthetic continuous data representing a simple mediator chain
  • chain - Synthetic data representing a simple mediator chain
  • junction - Synthetic data representing a junction

On CRAN:

Conda:

openmp

2.00 score 3 scripts 674 downloads 12 exports 0 dependencies

Last updated from:716307b0df. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK116
linux-devel-x86_64OK98
source / vignettesOK141
linux-release-arm64OK105
linux-release-x86_64OK90
wasm-releaseOK85

Exports:branchescollapseensembleflowhierarchymi_scoresmle_coercepath_topathsprunevistlawrite.dot

Dependencies:

Vistla walkthrough

Rendered fromwalkthrough.Rnwusingutils::Sweaveon May 26 2026.

Last update: 2025-02-19
Started: 2025-02-06