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perry (version 0.2.0)

Resampling-based prediction error estimation for regression models

Description

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

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Version

Install

install.packages('perry')

Monthly Downloads

3,747

Version

0.2.0

License

GPL (>= 2)

Maintainer

Andreas Alfons

Last Published

March 13th, 2013

Functions in perry (0.2.0)

subset.perry

Subsetting resampling-based prediction error results
perrySplits

Data splits for resampling-based prediction error measures
reperry

Recompute resampling-based prediction error measures
randomSplits

Random data splits
perryFit

Resampling-based prediction error for model evaluation
perry-deprecated

Deprecated functions in package perry
accessors

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

Control object for cross-validation folds
summary.perry

Summarize resampling-based prediction error results
aggregate.perry

Aggregate resampling-based prediction error results
splitControl

Control object for random data splits
cost

Prediction loss
perryTuning

Resampling-based prediction error for tuning parameter selection
perry

Resampling-based prediction error for fitted models
perry-package

Resampling-based prediction error estimation for regression models
perryReshape

Reshape resampling-based prediction error results
bootControl

Control object for bootstrap samples
perrySelect

Model selection via resampling-based prediction error measures
bootSamples

Bootstrap samples
cvFolds

Cross-validation folds
perryPlot

Plot resampling-based prediction error results
fortify.perry

Convert resampling-based prediction error results into a data frame for plotting