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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. M. Draminski, J. Koronacki (2018) <doi:10.18637/jss.v085.i12>.
Version: | 1.3.5 |
Depends: | rJava (≥ 0.5-0), R (≥ 2.70) |
Imports: | yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph, data.table (≥ 1.0.1) |
Suggests: | testthat, R.rsp |
Published: | 2021-09-18 |
DOI: | 10.32614/CRAN.package.rmcfs |
Author: | Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb] |
Maintainer: | Michal Draminski <michal.draminski at ipipan.waw.pl> |
License: | GPL-3 |
URL: | https://home.ipipan.waw.pl/m.draminski/mcfs.html |
NeedsCompilation: | no |
SystemRequirements: | Java (>= 7) |
Citation: | rmcfs citation info |
Materials: | NEWS |
CRAN checks: | rmcfs results |
Reference manual: | rmcfs.pdf |
Vignettes: |
Draminski & Koronacki (2018): rmcfs paper (Journal of Statistical Software) |
Package source: | rmcfs_1.3.5.tar.gz |
Windows binaries: | r-devel: rmcfs_1.3.5.zip, r-release: rmcfs_1.3.5.zip, r-oldrel: rmcfs_1.3.5.zip |
macOS binaries: | r-release (arm64): rmcfs_1.3.5.tgz, r-oldrel (arm64): rmcfs_1.3.5.tgz, r-release (x86_64): rmcfs_1.3.5.tgz, r-oldrel (x86_64): rmcfs_1.3.5.tgz |
Old sources: | rmcfs archive |
Reverse imports: | BASiNET |
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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.
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