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PMA
Penalized Multivariate Analysis.
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Version
Version
1.2-3
1.2-2
1.2.1
1.2
1.1
1.0.11
1.0.10
1.0.9
1.0.8
1.0.7.1
1.0.6
1.0.5
1.0.4
1.0.2
1.0.1
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Install
install.packages('PMA')
Monthly Downloads
1,726
Version
1.2-3
License
GPL (>= 2)
Issues
9
Pull Requests
0
Stars
4
Forks
3
Repository
https://github.com/bnaras/PMA
Maintainer
Balasubramanian Narasimhan
Last Published
February 6th, 2024
Functions in PMA (1.2-3)
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MultiCCA
Perform sparse multiple canonical correlation 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.
PMD.cv
Do tuning parameter selection for PMD via cross-validation
SPC
Perform sparse principal component analysis
SPC.cv
Perform cross-validation on sparse principal component analysis
PMA-package
Penalized Multivariate Analysis
PMD
Get a penalized matrix decomposition for a data matrix.
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.