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) . Zou, H., Hastie, T., & Tibshirani, R. (2006) . Zou, H., & Xue, L. (2018) . 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 Depends: R (>= 3.5.0) Packaged: 2022-10-02 15:38:42 UTC; 15000 Repository: CRAN Date/Publication: 2022-10-02 16:10:05 UTC