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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-1.3.6-r43hc72bb7e_0.conda  6 months and 10 days ago 667 main
conda 4.5 MB | noarch/r-rmcfs-1.3.6-r44hc72bb7e_0.conda  6 months and 10 days ago 683 main

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