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amanpg
View on CRAN: Click
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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
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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 06 Mar. 2026.
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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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