PMA2: Penalized Multivariate Analysis

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’s Disease Risk Via Novel Extension of Sparse Canonical Correlation" at bioRxiv.

Version:	2.1
Depends:	R (≥ 2.10)
Published:	2022-05-12
Author:	Ali Mahzarnia
Maintainer:	Ali Mhazarnia <ali.mahzarnia at duke.edu>
BugReports:	https://github.com/Ali-Mahzarnia/PMA2
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/Ali-Mahzarnia/PMA2
NeedsCompilation:	yes
CRAN checks:	PMA2 results

Documentation:

Reference manual:

PMA2.pdf

Downloads:

Package source:	PMA2_2.1.tar.gz
Windows binaries:	r-devel: PMA2_2.1.zip, r-release: PMA2_2.1.zip, r-oldrel: PMA2_2.1.zip
macOS binaries:	r-release (arm64): PMA2_2.1.tgz, r-oldrel (arm64): PMA2_2.1.tgz, r-release (x86_64): PMA2_2.1.tgz, r-oldrel (x86_64): PMA2_2.1.tgz

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