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PMA
Penalized Multivariate Analysis.
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Install
install.packages('PMA')
Monthly Downloads
922
Version
1.2-2
License
GPL (>= 2)
Issues
10
Pull Requests
0
Stars
6
Forks
3
Repository
https://github.com/bnaras/PMA
Maintainer
Rob Tibshirani
Last Published
July 20th, 2023
Functions in PMA (1.2-2)
Search all functions
SPC
Perform sparse principal component analysis
PMD.cv
Do tuning parameter selection for PMD via cross-validation
MultiCCA
Perform sparse multiple canonical correlation analysis.
PMA-package
Penalized Multivariate Analysis
CCA
Perform sparse canonical correlation analysis using the penalized matrix decomposition.
PMD
Get a penalized matrix decomposition for a data matrix.
CCA.permute
Select tuning parameters for sparse canonical correlation analysis using the penalized matrix decomposition.
PlotCGH
Plot CGH data
download_breast_data
Download and return the breast data
MultiCCA.permute
Select tuning parameters for sparse multiple canonical correlation analysis using the penalized matrix decomposition.
SPC.cv
Perform cross-validation on sparse principal component analysis