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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

VersionRepositoryFileSize
1.12 rolling linux/jammy R-4.5 superpc_1.12.tar.gz 285.7 KiB
1.12 rolling linux/noble R-4.5 superpc_1.12.tar.gz 285.7 KiB
1.12 rolling source/ R- superpc_1.12.tar.gz 161.5 KiB
1.12 latest linux/jammy R-4.5 superpc_1.12.tar.gz 285.7 KiB
1.12 latest linux/noble R-4.5 superpc_1.12.tar.gz 285.7 KiB
1.12 latest source/ R- superpc_1.12.tar.gz 161.5 KiB
1.12 2026-04-26 source/ R- superpc_1.12.tar.gz 161.5 KiB
1.12 2026-04-23 source/ R- superpc_1.12.tar.gz 161.5 KiB
1.12 2026-04-09 windows/windows R-4.5 superpc_1.12.zip 287.3 KiB
1.12 2025-04-20 source/ R- superpc_1.12.tar.gz 161.5 KiB

Dependencies (latest)

Imports