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.

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 <amarx at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: SCCI citation info
Materials: NEWS
CRAN checks: SCCI results


Reference manual: SCCI.pdf


Package source: SCCI_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SCCI_1.2.tgz, r-oldrel (arm64): SCCI_1.2.tgz, r-release (x86_64): SCCI_1.2.tgz, r-oldrel (x86_64): SCCI_1.2.tgz
Old sources: SCCI archive


Please use the canonical form to link to this page.