The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery R package rmcfs version 1.3.6 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>. Software 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 Michal Draminski <michal.draminski@ipipan.waw.pl> Comprehensive R Archive Network (CRAN) Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb] GPL-3 2024-08-19 application/tgz https://CRAN.R-project.org/package=rmcfs doi:10.32614/CRAN.package.rmcfs