MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data.
| Version: | 1.2.6 |
| Depends: | rJava (≥ 0.5-0), R (≥ 2.70) |
| Imports: | yaml, ggplot2, reshape2, dplyr, igraph (≥ 1.0.1) |
| Suggests: | testthat |
| Published: | 2017-07-03 |
| Author: | Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb] |
| Maintainer: | Michal Draminski <michal.draminski at ipipan.waw.pl> |
| License: | GPL-3 |
| URL: | www.ipipan.eu/staff/m.draminski/mcfs.html |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 6.0) |
| Citation: | rmcfs citation info |
| Materials: | NEWS |
| CRAN checks: | rmcfs results |
| Reference manual: | rmcfs.pdf |
| Package source: | rmcfs_1.2.6.tar.gz |
| Windows binaries: | r-devel: rmcfs_1.2.6.zip, r-release: rmcfs_1.2.6.zip, r-oldrel: rmcfs_1.2.6.zip |
| OS X El Capitan binaries: | r-release: rmcfs_1.2.6.tgz |
| OS X Mavericks binaries: | r-oldrel: rmcfs_1.2.6.tgz |
| Old sources: | rmcfs archive |
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