Alternating Manifold Proximal Gradient Method for Sparse PCA uses the Alternating Manifold Proximal Gradient (AManPG) method to find sparse principal components from a data or covariance matrix. Provides a novel algorithm for solving the sparse principal component analysis problem which provides advantages over existing methods in terms of efficiency and convergence guarantees. Chen, S., Ma, S., Xue, L., & Zou, H. (2020) <doi:10.1287/ijoo.2019.0032>. Zou, H., Hastie, T., & Tibshirani, R. (2006) <doi:10.1198/106186006X113430>. Zou, H., & Xue, L. (2018) <doi:10.1109/JPROC.2018.2846588>.
Version: | 0.3.4 |
Depends: | R (≥ 3.5.0) |
Suggests: | knitr, rmarkdown |
Published: | 2022-10-02 |
DOI: | 10.32614/CRAN.package.amanpg |
Author: | Shixiang Chen [aut], Justin Huang [aut], Benjamin Jochem [aut], Shiqian Ma [aut], Haichuan Xu [aut], Lingzhou Xue [aut], Zhong Zheng [cre, aut], Hui Zou [aut] |
Maintainer: | Zhong Zheng <zvz5337 at psu.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | amanpg results |
Reference manual: | amanpg.pdf |
Vignettes: |
An Introduction to amanpg |
Package source: | amanpg_0.3.4.tar.gz |
Windows binaries: | r-devel: amanpg_0.3.4.zip, r-release: amanpg_0.3.4.zip, r-oldrel: amanpg_0.3.4.zip |
macOS binaries: | r-devel (arm64): amanpg_0.3.4.tgz, r-release (arm64): amanpg_0.3.4.tgz, r-oldrel (arm64): amanpg_0.3.4.tgz, r-devel (x86_64): amanpg_0.3.4.tgz, r-release (x86_64): amanpg_0.3.4.tgz, r-oldrel (x86_64): amanpg_0.3.4.tgz |
Old sources: | amanpg archive |
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