R: Penalized Multivariate Analysis

# Penalized Multivariate Analysis

## Documentation for package ‘PMA’ version 1.2-4

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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.
download_breast_data | Download and return the breast data
MultiCCA | Perform sparse multiple canonical correlation analysis.
MultiCCA.permute | Select tuning parameters for sparse multiple canonical correlation analysis using the penalized matrix decomposition.
plot.MultiCCA.permute | Select tuning parameters for sparse multiple canonical correlation analysis using the penalized matrix decomposition.
plot.SPC.cv | Perform cross-validation on sparse principal component analysis
PlotCGH | Plot CGH data
PMD | Get a penalized matrix decomposition for a data matrix.
PMD.cv | Do tuning parameter selection for PMD via cross-validation
print.CCA | Perform sparse canonical correlation analysis using the penalized matrix decomposition.
print.MultiCCA | Perform sparse multiple canonical correlation analysis.
print.MultiCCA.permute | Select tuning parameters for sparse multiple canonical correlation analysis using the penalized matrix decomposition.
print.SPC | Perform sparse principal component analysis
print.SPC.cv | Perform cross-validation on sparse principal component analysis
SPC | Perform sparse principal component analysis
SPC.cv | Perform cross-validation on sparse principal component analysis