Crandore Hub

rSDR

Robust Sufficient Dimension Reduction

A novel sufficient-dimension reduction method is robust against outliers using alpha-distance covariance and manifold-learning in dimensionality reduction problems. Please refer Hsin-Hsiung Huang, Feng Yu & Teng Zhang (2024) <doi:10.1080/10485252.2024.2313137> for the details.

Versions across snapshots

VersionRepositoryFileSize
1.0.3.0 rolling linux/jammy R-4.5 rSDR_1.0.3.0.tar.gz 134.6 KiB
1.0.3.0 rolling linux/noble R-4.5 rSDR_1.0.3.0.tar.gz 134.5 KiB
1.0.3.0 rolling source/ R- rSDR_1.0.3.0.tar.gz 103.9 KiB
1.0.3.0 latest linux/jammy R-4.5 rSDR_1.0.3.0.tar.gz 134.6 KiB
1.0.3.0 latest linux/noble R-4.5 rSDR_1.0.3.0.tar.gz 134.5 KiB
1.0.3.0 latest source/ R- rSDR_1.0.3.0.tar.gz 103.9 KiB
1.0.3.0 2026-04-26 source/ R- rSDR_1.0.3.0.tar.gz 103.9 KiB
1.0.3.0 2026-04-23 source/ R- rSDR_1.0.3.0.tar.gz 103.9 KiB
1.0.3.0 2026-04-09 windows/windows R-4.5 rSDR_1.0.3.0.zip 138.0 KiB

Dependencies (latest)

Imports

Suggests