Package: SCCI 1.2
Alexander Marx
SCCI: Stochastic Complexity-Based Conditional Independence Test for Discrete Data
An efficient implementation of SCCI using 'Rcpp'. SCCI is short for the Stochastic Complexity-based Conditional Independence criterium (Marx and Vreeken, 2019). SCCI is an asymptotically unbiased and L2 consistent estimator of (conditional) mutual information for discrete data.
Authors:
SCCI_1.2.tar.gz
SCCI_1.2.tar.gz(r-4.7-arm64)SCCI_1.2.tar.gz(r-4.7-x86_64)SCCI_1.2.tar.gz(r-4.6-arm64)SCCI_1.2.tar.gz(r-4.6-x86_64)
SCCI_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SCCI/json (API)
NEWS
| # Install 'SCCI' in R: |
| install.packages('SCCI', repos = c('https://cran.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 from:07c029949a. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 127 | ||
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 163 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 135 | ||
| wasm-release | OK | 124 |
Exports:conditionalShannonEntropyconditionalStochasticComplexitypSCCIregretSCCIshannonEntropystochasticComplexity
Dependencies:Rcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional Shannon Entropy | conditionalShannonEntropy |
| Conditional Stochastic Complexity for Multinomials | conditionalStochasticComplexity |
| Stochastic Complexity-based Conditional Independence Criterium (p-value) | pSCCI |
| Multinomial Regret Term | regret |
| Stochastic Complexity-based Conditional Independence Criterium | SCCI |
| Shannon Entropy | shannonEntropy |
| Stochastic Complexity for Multinomials | stochasticComplexity |