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PMA
Penalized Multivariate Analysis
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Install
install.packages('PMA')
Monthly Downloads
855
Version
1.2.1
License
GPL (>= 2)
Issues
9
Pull Requests
0
Stars
4
Forks
3
Repository
https://github.com/bnaras/PMA
Maintainer
Rob Tibshirani
Last Published
February 3rd, 2020
Functions in PMA (1.2.1)
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PlotCGH
Plot CGH 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
PMD
Get a penalized matrix decomposition for a data matrix.
SPC
Perform sparse principal component analysis
PMA-package
Penalized Multivariate Analysis
MultiCCA
Perform sparse multiple canonical correlation analysis.
PMD.cv
Do tuning parameter selection for PMD via cross-validation
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.
breastdata
Breast cancer gene expression + DNA copy number data set from Chin et. al. and used in Witten, et. al. See references below.