R: Methods for High-Dimensional Multi-View Learning

# Methods for High-Dimensional Multi-View Learning

## Documentation for package ‘mvs’ version 2.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

mvs-package | mvs: Methods for High-Dimensional Multi-View Learning.
coef.MVS | Extract coefficients from an "MVS" object.
coef.StaPLR | Extract coefficients from a "StaPLR" object.
importance.MVS | Calculate feature importance from an "MVS" object.
MRM | Minority Report Measure
mrm | Minority Report Measure
MVS | Multi-View Stacking
mvs | Multi-View Stacking
predict.MVS | Make predictions from an "MVS" object.
predict.StaPLR | Make predictions from a "StaPLR" object.
predict.StaPLRcoef | Make predictions from a "StaPLRcoef" object.
RF | Function for fitting random forests with multi-view stacking
StaPLR | Stacked Penalized Logistic Regression
staplr | Stacked Penalized Logistic Regression