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amanpg  

Alternating Manifold Proximal Gradient Method for Sparse PCA
View on CRAN: Click here


Download and install amanpg package within the R console
Install from CRAN:
install.packages("amanpg")

Install from Github:
library("remotes")
install_github("cran/amanpg")

Install by package version:
library("remotes")
install_version("amanpg", "0.3.4")



Attach the package and use:
library("amanpg")
Maintained by
Zhong Zheng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-26
Latest Update: 2022-10-02
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) .
How to cite:
Zhong Zheng (2021). amanpg: Alternating Manifold Proximal Gradient Method for Sparse PCA. R package version 0.3.4, https://cran.r-project.org/web/packages/amanpg. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.3.0 (2021-07-26 09:10), 0.3.1 (2021-09-02 13:00), 0.3.2 (2021-10-02 06:20), 0.3.3 (2021-10-06 01:20)
Other packages that cited amanpg R package
View amanpg citation profile
Other R packages that amanpg depends, imports, suggests or enhances
Complete documentation for amanpg
Functions, R codes and Examples using the amanpg R package
Some associated functions: normalize . prox.l1 . spca.amanpg . 
Some associated R codes: SPCA.R .  Full amanpg package functions and examples
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