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PMA2  

Penalized Multivariate Analysis
View on CRAN: Click here


Download and install PMA2 package within the R console
Install from CRAN:
install.packages("PMA2")

Install from Github:
library("remotes")
install_github("cran/PMA2")

Install by package version:
library("remotes")
install_version("PMA2", "2.1")



Attach the package and use:
library("PMA2")
Maintained by
Ali Mhazarnia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-12
Latest Update: 2023-04-02
Description:
A modified version of PMA. The CCA() and CCA.permute() functions can also compute the component-wise standard deviations of estimated U and V through permutations in addition to standardize them. Furthermore, it computes the non-parametric p-values for each components. Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Ali Mahzarnia, Alexander Badea (2022), "Joint Estimation of Vulnerable Brain Networks and Alzheimer
How to cite:
Ali Mhazarnia (2022). PMA2: Penalized Multivariate Analysis. R package version 2.1, https://cran.r-project.org/web/packages/PMA2
Previous versions and publish date:
2.1 (2022-05-12 09:00)
Other packages that cited PMA2 R package
View PMA2 citation profile
Other R packages that PMA2 depends, imports, suggests or enhances
Functions, R codes and Examples using the PMA2 R package
Some associated functions: CCA . CCA.permute . MultiCCA . MultiCCA.permute . PMA-package . PMD.cv . PMD . PlotCGH . SPC.cv . SPC . breastdata . 
Some associated R codes: CCA.R . FLSAGeneralInclude.R . MultiCCA.R . PMA-package.R . PMD.CGH.R . PMD.R . PlotFusedLasso.R . SamrFunctions.R . zzz.R .  Full PMA2 package functions and examples
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