superpc
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.12 |
2026-04-09 windows/windows R-4.5 | superpc_1.12.zip |
287.3 KiB |