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 |
Reference manual: | SCCI.pdf |
Package source: | SCCI_1.2.tar.gz |
Windows binaries: | r-devel: SCCI_1.2.zip, r-release: SCCI_1.2.zip, r-oldrel: SCCI_1.2.zip |
macOS binaries: | r-release: SCCI_1.2.tgz, r-oldrel: SCCI_1.2.tgz |
Old sources: | SCCI archive |
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