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.
|Author||Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]|
|Date of publication||2017-07-03 16:37:50 UTC|
|Maintainer||Michal Draminski <[email protected]>|
|Package repository||View on CRAN|
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