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 instance, by high-throughput technologies.


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Reference manual

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install.packages("superpc")

1.12 by Jean-Eudes Dazard, 7 months ago


http://www-stat.stanford.edu/~tibs/superpc, https://github.com/jedazard/superpc


Browse source code at https://github.com/cran/superpc


Authors: Eric Bair [aut] , Jean-Eudes Dazard [cre, ctb] , Rob Tibshirani [ctb]


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL (>= 3) | file LICENSE license


Imports survival, stats, graphics, grDevices


Suggested by caret, fscaret.


See at CRAN