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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 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 (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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.