R: Thresholded Partial Least Squares Model for Neuroimaging Data

# Thresholded Partial Least Squares Model for Neuroimaging Data

## Documentation for package ‘TPLSr’ version 1.0.5

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

## Help Pages

evalTuningParam | Evaluating cross-validation performance of a TPLS_cv model at compvec and threshvec
makePredictor | Method for extracting the T-PLS predictor at a given compval and threshval
plotTuningSurface | Plots the tuning surface of TPLS
TPLS | Constructor method for fitting a T-PLS model with given data X and Y.
TPLSdat | Sample participant data from a left-right button press task
TPLSpredict | Method for making predictions on a testing dataset testX
TPLS_cv | Constructor method for fitting a cross-validation T-PLS model