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>.
|Author||Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]|
|Maintainer||Michal Draminski <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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