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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>.

copied from cf-staging / r-rmcfs
Type Size Name Uploaded Downloads Labels
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r40hc72bb7e_1.tar.bz2  4 years and 2 months ago 2361 main
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r41hc72bb7e_1.tar.bz2  4 years and 2 months ago 2391 main
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r40h6115d3f_1.tar.bz2  5 years and 1 month ago 3233 main
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r36h6115d3f_1.tar.bz2  5 years and 1 month ago 3201 main
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r35h6115d3f_0.tar.bz2  5 years and 6 months ago 3512 main cf202003
conda 4.5 MB | noarch/r-rmcfs-1.3.1-r36h6115d3f_0.tar.bz2  5 years and 6 months ago 3577 main cf202003

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