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.
https://anaconda.org/r/r-superpc/badges/version.svg
https://anaconda.org/r/r-superpc/badges/latest_release_date.svg
https://anaconda.org/r/r-superpc/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-superpc/badges/platforms.svg
https://anaconda.org/r/r-superpc/badges/license.svg
https://anaconda.org/r/r-superpc/badges/downloads.svg