Motivation | Usage | Further steps
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:
vistla_2.1.2.tar.gz
vistla_2.1.2.zip(r-4.7)vistla_2.1.2.zip(r-4.6)vistla_2.1.2.zip(r-4.5)
vistla_2.1.2.tgz(r-4.6-x86_64)vistla_2.1.2.tgz(r-4.6-arm64)vistla_2.1.2.tgz(r-4.5-x86_64)vistla_2.1.2.tgz(r-4.5-arm64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
vistla/json (API)
| # Install 'vistla' in R: |
| install.packages('vistla', repos = c('https://mbq.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/mbq/vistla
Datasets:
Last updated from:43c6092c0b. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 150 | ||
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 148 | ||
| linux-release-arm64 | OK | 98 | ||
| linux-release-x86_64 | OK | 94 | ||
| macos-release-arm64 | OK | 79 | ||
| macos-release-x86_64 | OK | 393 | ||
| macos-oldrel-arm64 | OK | 208 | ||
| macos-oldrel-x86_64 | OK | 241 | ||
| windows-devel | OK | 70 | ||
| windows-release | OK | 62 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 85 |
Exports:branchescollapseensembleflowhierarchymi_scoresmle_coercepath_topathsprunevistlawrite.dot
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract all branches of the Vistla tree | as.data.frame.vistla branches |
| Synthetic continuous data representing a simple mediator chain | cchain |
| Synthetic data representing a simple mediator chain | chain |
| Collapse the vistla tree into a pairwise graph | collapse |
| Construct the value for the ensemble argument | ensemble print.vistla_ensemble_control |
| Construct the value for the flow argument | flow print.vistla_flow |
| Extract the vertex hierarchy from the vistla tree | hierarchy |
| Synthetic data representing a junction | junction |
| Extract mutual information score matrix | mi_scores |
| Basic discretisation of numerical features | mle_coerce |
| Extract a single path | path_to |
| List all paths | paths |
| Overview plot of the vistla tree | plot.vistla plot.vistla_plot print.vistla_plot |
| Print vistla objects | print.vistla print.vistla_hierarchy |
| Prune the vistla tree | prune |
| Influence path identification with the Vistla algorithm | vistla vistla.data.frame vistla.default vistla.formula |
| Export tree to a Graphviz DOT format | write.dot |