Package: amanpg
Version: 0.3.4
Date: 2022-10-02
Title: Alternating Manifold Proximal Gradient Method for Sparse PCA
Type: Package
Authors@R: c(
    person("Shixiang", "Chen", role = "aut"),
    person("Justin", "Huang", role = "aut"),
    person("Benjamin","Jochem", role = "aut"),
    person("Shiqian", "Ma", role = "aut"),
    person("Haichuan", "Xu", role = "aut"),
    person("Lingzhou", "Xue", role = "aut"),
    person("Zhong", "Zheng", email = "zvz5337@psu.edu", role = c("cre","aut")),
    person("Hui", "Zou", role = "aut"))
Description: 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>.
License: MIT + file LICENSE
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
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@psu.edu>
Depends: R (>= 3.5.0)
Packaged: 2026-07-09 09:12:14 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-10-02 15:10:05 UTC
RemoteUrl: https://github.com/cran/amanpg
RemoteRef: HEAD
RemoteSha: 345b3cf6d14799ee55c0663c54ffa3b6d1c73e29