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: 1.0
Imports: Rcpp (≥ 0.12.13)
LinkingTo: Rcpp
Suggests: pcalg, Rgraphviz
Published: 2019-03-01
Author: Alexander Marx [aut,cre] Jilles Vreeken [aut]
Maintainer: Alexander Marx <amarx at mpi-inf.mpg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: SCCI citation info
CRAN checks: SCCI results

Downloads:

Reference manual: SCCI.pdf
Package source: SCCI_1.0.tar.gz
Windows binaries: r-devel: SCCI_1.0.zip, r-release: SCCI_1.0.zip, r-oldrel: SCCI_1.0.zip
OS X binaries: r-release: SCCI_1.0.tgz, r-oldrel: SCCI_1.0.tgz

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