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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-1.3.5-r44hc72bb7e_3.conda  6 months and 26 days ago 702 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r43hc72bb7e_3.conda  6 months and 26 days ago 720 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r43hc72bb7e_2.conda  1 year and 8 months ago 1193 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r42hc72bb7e_2.conda  1 year and 8 months ago 1185 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1461 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1412 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r40hc72bb7e_0.tar.bz2  3 years and 5 months ago 2150 main
conda 4.5 MB | noarch/r-rmcfs-1.3.5-r41hc72bb7e_0.tar.bz2  3 years and 5 months ago 2153 main

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