The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

amanpg: Alternating Manifold Proximal Gradient Method for Sparse PCA

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

Documentation:

Reference manual: amanpg.pdf
Vignettes: An Introduction to amanpg

Downloads:

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-release (arm64): amanpg_0.3.4.tgz, r-oldrel (arm64): 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=amanpg to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.