rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery (original) (raw)
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: | 1.3.6 |
---|---|
Depends: | rJava (≥ 0.5-0), R (≥ 2.70) |
Imports: | yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph (≥ 2.0.0), data.table (≥ 1.0.1) |
Suggests: | testthat, R.rsp |
Published: | 2024-08-19 |
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=rmcfsto link to this page.