Learn R Programming

perry

Tools that allow developers to write functions for prediction error estimation with minimal programming effort and assist users with model selection in regression problems.

Copy Link

Version

Install

install.packages('perry')

Monthly Downloads

1,554

Version

0.3.1

License

GPL (>= 2)

Maintainer

Last Published

November 3rd, 2021

Functions in perry (0.3.1)

perry-deprecated

Deprecated functions in package perry
aggregate.perry

Aggregate resampling-based prediction error results
accessors

Access or set information on resampling-based prediction error results
cost

Prediction loss
bootControl

Control object for bootstrap samples
perry-package

perry
perry

Resampling-based prediction error for fitted models
foldControl

Control object for cross-validation folds
cvFolds

Cross-validation folds
bootSamples

Bootstrap samples
perrySplits

Data splits for resampling-based prediction error measures
setupPerryPlot

Set up a plot of resampling-based prediction error results
perryFit

Resampling-based prediction error for model evaluation
perryPlot

Plot resampling-based prediction error results
summary.perry

Summarize resampling-based prediction error results
splitControl

Control object for random data splits
subset.perry

Subsetting resampling-based prediction error results
perryTuning

Resampling-based prediction error for tuning parameter selection
perryReshape

Reshape resampling-based prediction error results
perrySelect

Model selection via resampling-based prediction error measures
reperry

Recompute resampling-based prediction error measures
randomSplits

Random data splits