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
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
Materials:	NEWS
CRAN checks:	SCCI results

Documentation:

Reference manual:

SCCI.pdf

Downloads:

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

Linking:

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