superpc
cranv1.12Supervised Principal Components. Does prediction in the case of a censored survival outcome, or a regression outcome, using the "supervised principal component" approach. 'Superpc' is especially useful for high-dimensional data when the number of features p dominates the number of samples n (p >> n paradigm), as generated, for inst
License GPL (>= 3) | file LICENSE0 versions1 maintainers4 deps2,604 weekly dl
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curl https://depscope.dev/api/check/cran/superpcFirst published · 2020-10-19 23:26:35
Last updated · 2020-10-19T21:10:03+00:00