Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ali Mahzarnia |
| Maintainer | Ali Mhazarnia <ali.mahzarnia@duke.edu> |
| License | GPL (>= 2) |
| Version | 2.1 |
| URL | https://github.com/Ali-Mahzarnia/PMA2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the PMA2 package in your browser
Any scripts or data that you put into this service are public.
