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.
| Version: | 1.0.3.0 |
| Imports: | ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future, future.apply, ggplot2, ggsci |
| Suggests: | expm, knitr, rmarkdown, Matrix, RcppNumerical, fdm2id |
| Published: | 2025-11-10 |
| DOI: | 10.32614/CRAN.package.rSDR |
| Author: | Sheau-Chiann Chen 
[aut, cre],
Shilin Zhao [aut],
Hsin-Hsiung Bill Huang
[aut] |
| Maintainer: | Sheau-Chiann Chen <sheau-chiann.chen.1 at vumc.org> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | rSDR results |
Documentation:
| Reference manual: | rSDR.html , rSDR.pdf |
| Vignettes: |
rSDR_vignette (source, R code) |
Downloads:
| Package source: | rSDR_1.0.3.0.tar.gz |
| Windows binaries: | r-devel: rSDR_1.0.3.0.zip, r-release: rSDR_1.0.3.0.zip, r-oldrel: rSDR_1.0.3.0.zip |
| macOS binaries: | r-release (arm64): rSDR_1.0.3.0.tgz, r-oldrel (arm64): rSDR_1.0.3.0.tgz, r-release (x86_64): rSDR_1.0.3.0.tgz, r-oldrel (x86_64): rSDR_1.0.3.0.tgz |
| Old sources: | rSDR archive |
Linking:
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