SCCI: Stochastic Complexity-Based Conditional Independence Test for Discrete Data (original) (raw)
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.
| Version: | 1.2 |
|---|---|
| Imports: | Rcpp (≥ 0.12.13) |
| LinkingTo: | Rcpp |
| Suggests: | pcalg, Rgraphviz |
| Published: | 2019-06-04 |
| DOI: | 10.32614/CRAN.package.SCCI |
| Author: | Alexander Marx [aut,cre] Jilles Vreeken [aut] |
| Maintainer: | Alexander Marx |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | SCCI citation info |
| Materials: | NEWS |
| CRAN checks: | SCCI results |
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