Package: vistla 2.0.2
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_2.0.2.tar.gz
vistla_2.0.2.zip(r-4.5)vistla_2.0.2.zip(r-4.4)vistla_2.0.2.zip(r-4.3)
vistla_2.0.2.tgz(r-4.4-x86_64)vistla_2.0.2.tgz(r-4.4-arm64)vistla_2.0.2.tgz(r-4.3-x86_64)vistla_2.0.2.tgz(r-4.3-arm64)
vistla_2.0.2.tar.gz(r-4.5-noble)vistla_2.0.2.tar.gz(r-4.4-noble)
vistla_2.0.2.tgz(r-4.4-emscripten)vistla_2.0.2.tgz(r-4.3-emscripten)
vistla.pdf |vistla.html✨
vistla/json (API)
NEWS
| # Install 'vistla' in R: |
| install.packages('vistla', repos = c('https://mbq.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:c93d9e48d6. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 05 2024 |
| R-4.5-win-x86_64 | OK | Sep 05 2024 |
| R-4.5-linux-x86_64 | OK | Sep 05 2024 |
| R-4.4-win-x86_64 | OK | Sep 05 2024 |
| R-4.4-mac-x86_64 | OK | Sep 05 2024 |
| R-4.4-mac-aarch64 | OK | Sep 05 2024 |
| R-4.3-win-x86_64 | OK | Sep 05 2024 |
| R-4.3-mac-x86_64 | OK | Sep 05 2024 |
| R-4.3-mac-aarch64 | OK | Sep 05 2024 |
Exports:branchesensembleflowhierarchyleaf_scoresmi_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 |
| 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 leaf scores of vertex pairs | leaf_scores |
| 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 |