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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1.0.3.0 by Sheau-Chiann Chen, a year ago
Browse source code at https://github.com/cran/rSDR
Authors: Sheau-Chiann Chen [aut, cre] (ORCID: , Shilin Zhao [aut] , Hsin-Hsiung Bill Huang [aut] (ORCID:
Documentation: PDF Manual
GPL (>= 3) license
Imports ManifoldOptim, methods, Rcpp, rstiefel, scatterplot3d, future, future.apply, ggplot2, ggsci
Suggests expm, knitr, rmarkdown, Matrix, RcppNumerical, fdm2id
See at CRAN