Robust Sufficient Dimension Reduction
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 20%
- rSDR_vignette HTML
Downloads
Dependencies
Installing rSDR adds 29 packages (13 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, ggsci 2.1 MB, Rcpp 1.8 MB.
CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.
- ManifoldOptimfix by Oct 31
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.3.0Latest
- 1.0.2.12025-10-28
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-10-28
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 104 KB
Cite
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