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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.2 |
rolling linux/jammy R-4.5 | vistla_2.1.2.tar.gz |
215.5 KiB |
2.1.2 |
rolling linux/noble R-4.5 | vistla_2.1.2.tar.gz |
215.7 KiB |
2.1.2 |
rolling source/ R- | vistla_2.1.2.tar.gz |
143.2 KiB |
2.1.2 |
latest linux/jammy R-4.5 | vistla_2.1.2.tar.gz |
215.5 KiB |
2.1.2 |
latest linux/noble R-4.5 | vistla_2.1.2.tar.gz |
215.7 KiB |
2.1.2 |
latest source/ R- | vistla_2.1.2.tar.gz |
143.2 KiB |
2.1.2 |
2026-04-26 source/ R- | vistla_2.1.2.tar.gz |
143.2 KiB |
2.1.2 |
2026-04-23 source/ R- | vistla_2.1.2.tar.gz |
143.2 KiB |
2.1.2 |
2026-04-09 windows/windows R-4.5 | vistla_2.1.2.zip |
337.9 KiB |
2.1.1 |
2025-04-20 source/ R- | vistla_2.1.1.tar.gz |
141.5 KiB |