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PMA
Penalized Multivariate Analysis.
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1.2-4
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Install
install.packages('PMA')
Monthly Downloads
948
Version
1.2-4
License
GPL (>= 2)
Issues
10
Pull Requests
0
Stars
4
Forks
3
Repository
https://github.com/bnaras/PMA
Maintainer
Balasubramanian Narasimhan
Last Published
September 3rd, 2024
Functions in PMA (1.2-4)
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MultiCCA.permute
Select tuning parameters for sparse multiple canonical correlation analysis using the penalized matrix decomposition.
download_breast_data
Download and return the breast data
PMD
Get a penalized matrix decomposition for a data matrix.
PMA-package
Penalized Multivariate Analysis
MultiCCA
Perform sparse multiple canonical correlation analysis.
PMD.cv
Do tuning parameter selection for PMD via cross-validation
SPC
Perform sparse principal component analysis
CCA
Perform sparse canonical correlation analysis using the penalized matrix decomposition.
CCA.permute
Select tuning parameters for sparse canonical correlation analysis using the penalized matrix decomposition.
SPC.cv
Perform cross-validation on sparse principal component analysis
PlotCGH
Plot CGH data