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>.
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curl https://depscope.dev/api/check/conda/r-rmcfsFirst published · 2020-07-07 03:24:30.615000+00:00
Last updated · 2025-09-24 13:40:39.916000+00:00