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-4.5-noble)SCCI_1.2.tar.gz(r-4.4-noble)
SCCI_1.2.tgz(r-4.4-emscripten)SCCI_1.2.tgz(r-4.3-emscripten)
SCCI.pdf |SCCI.html✨
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 6 years agofrom:07c029949a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 28 2024 |
| R-4.5-linux-x86_64 | OK | Nov 28 2024 |
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 |