perry-package {perry}

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.

Details

The DESCRIPTION file:

Package:	perry
Type:	Package
Title:	Resampling-Based Prediction Error Estimation for Regression Models
Version:	0.3.1
Date:	2021-11-03
Depends:	R (>= 2.14.1), ggplot2 (>= 0.9.2), parallel
Imports:	stats, utils
Suggests:	perryExamples, robustbase
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.
License:	GPL (>= 2)
LazyLoad:	yes
Authors@R:	person("Andreas", "Alfons", email = "[e-mail]", role = c("aut", "cre"))
Author:	Andreas Alfons [aut, cre]
Maintainer:	Andreas Alfons <[e-mail]>
Encoding:	UTF-8
RoxygenNote:	7.1.2

Index of help topics:

accessors               Access or set information on resampling-based
                        prediction error results
aggregate.perry         Aggregate resampling-based prediction error
                        results
bootControl             Control object for bootstrap samples
bootSamples             Bootstrap samples
cost                    Prediction loss
cvFolds                 Cross-validation folds
foldControl             Control object for cross-validation folds
perry                   Resampling-based prediction error for fitted
                        models
perry-deprecated        Deprecated functions in package 'perry'
perry-package           Resampling-Based Prediction Error Estimation
                        for Regression Models
perryFit                Resampling-based prediction error for model
                        evaluation
perryPlot               Plot resampling-based prediction error results
perryReshape            Reshape resampling-based prediction error
                        results
perrySelect             Model selection via resampling-based prediction
                        error measures
perrySplits             Data splits for resampling-based prediction
                        error measures
perryTuning             Resampling-based prediction error for tuning
                        parameter selection
randomSplits            Random data splits
reperry                 Recompute resampling-based prediction error
                        measures
setupPerryPlot          Set up a plot of resampling-based prediction
                        error results
splitControl            Control object for random data splits
subset.perry            Subsetting resampling-based prediction error
                        results
summary.perry           Summarize resampling-based prediction error
                        results

Author(s)

Andreas Alfons [aut, cre]

Maintainer: Andreas Alfons <[e-mail]>