superpc

cranv1.12

Supervised 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
jedazard/superpc
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[email protected] is safe to use (health: 45/100)

Health breakdown0 – 100
0/25
maintenance
6/20
popularity
25/25
security
12/15
maturity
2/15
community
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0
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First published · 2020-10-19 23:26:35

Last updated · 2020-10-19T21:10:03+00:00