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Learning the structure of graphical models from datasets with thousands of variables. More information about the research papers detailing the theory behind Chordalysis is available at <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014, ICDM 2013). The R package development site is <https://github.com/HerrmannM/Monash-ChoR>.
| Version: | 0.0-4 |
| Imports: | rJava (≥ 0.9.9), commonsMath, stats |
| Suggests: | graph (≥ 1.52.0), Rgraphviz (≥ 2.18.0) |
| Published: | 2018-05-16 |
| Author: | François Petitjean [aut], Matthieu Herrmann [aut, com, cre], Christoph Bergmeir [ctb] |
| Maintainer: | Matthieu Herrmann <matthieu.herrmann at monash.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 8) |
| Citation: | ChoR citation info |
| CRAN checks: | ChoR results |
| Reference manual: | ChoR.pdf |
| Package source: | ChoR_0.0-4.tar.gz |
| Windows binaries: | r-devel: ChoR_0.0-4.zip, r-release: ChoR_0.0-4.zip, r-oldrel: ChoR_0.0-4.zip |
| macOS binaries: | r-release (arm64): ChoR_0.0-4.tgz, r-oldrel (arm64): ChoR_0.0-4.tgz, r-release (x86_64): ChoR_0.0-4.tgz, r-oldrel (x86_64): ChoR_0.0-4.tgz |
| Old sources: | ChoR archive |
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