rSDR (version 1.0.3.0)

Robust Sufficient Dimension Reduction

Description

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) for the details.

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Install

install.packages('rSDR')

Monthly Downloads

148

Version

1.0.3.0

License

GPL (>= 3)

Maintainer

Sheau-Chiann Chen

Last Published

November 10th, 2025

Functions in rSDR (1.0.3.0)

optimal_alpha_cv

The optimal alpha for rSDR via cross-validation

plot_alpha

Plot for the optimal alpha

plot_rSDR

Projected data plotting

rSDR

Robust Sufficient Dimension Reduction

optimal_alpha_boot

The optimal alpha for rSDR via bootstrap resampling