Package: perry 0.3.1

perry: Resampling-Based Prediction Error Estimation for Regression Models

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

Authors:Andreas Alfons [aut, cre]

perry_0.3.1.tar.gz
perry_0.3.1.zip(r-4.5)perry_0.3.1.zip(r-4.4)perry_0.3.1.zip(r-4.3)
perry_0.3.1.tgz(r-4.4-any)perry_0.3.1.tgz(r-4.3-any)
perry_0.3.1.tar.gz(r-4.5-noble)perry_0.3.1.tar.gz(r-4.4-noble)
perry_0.3.1.tgz(r-4.4-emscripten)perry_0.3.1.tgz(r-4.3-emscripten)
perry.pdf |perry.html✨
perry/json (API)
NEWS

# Install 'perry' in R:
install.packages('perry', repos = c('https://aalfons.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aalfons/perry/issues

On CRAN:

4.78 score 2 stars 10 packages 20 scripts 1.0k downloads 26 exports 28 dependencies

Last updated 3 years agofrom:e368947972. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 20 2025
R-4.5-winOKJan 20 2025
R-4.5-linuxOKJan 20 2025
R-4.4-winOKJan 20 2025
R-4.4-macOKJan 20 2025
R-4.3-winOKJan 20 2025
R-4.3-macOKJan 20 2025

Exports:bootControlbootSamplescvFoldsfitsfits<-foldControlmapemspenfitsnpepeNamespeNames<-perryperryFitperryPlotperryReshapeperrySelectperrySplitsperryTuningrandomSplitsreperryrmspertmspesetupPerryPlotsplitControltmspe

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Resampling-Based Prediction Error Estimation for Regression Modelsperry-package
Access or set information on resampling-based prediction error resultsaccessors fits fits<- nfits npe peNames peNames<-
Aggregate resampling-based prediction error resultsaggregate.perry aggregate.perrySelect aggregate.perryTuning
Control object for bootstrap samplesbootControl
Bootstrap samplesbootSamples print.bootSamples
Prediction losscost mape mspe rmspe rtmspe tmspe
Cross-validation foldscvFolds print.cvFolds
Control object for cross-validation foldsfoldControl
Resampling-based prediction error for fitted modelsperry
Deprecated functions in package 'perry'fortify.perry fortify.perrySelect fortify.perryTuning perry-deprecated perryPlot.default
Resampling-based prediction error for model evaluationperryFit perryFit.call perryFit.default perryFit.function print.perry
Plot resampling-based prediction error resultsautoplot.perry autoplot.perrySelect perryPlot perryPlot.perry perryPlot.perrySelect perryPlot.setupPerryPlot plot.perry plot.perrySelect
Reshape resampling-based prediction error resultsperryReshape
Model selection via resampling-based prediction error measuresperrySelect print.perrySelect
Data splits for resampling-based prediction error measuresperrySplits
Resampling-based prediction error for tuning parameter selectioncoef.perryTuning fitted.perryTuning perryTuning perryTuning.call perryTuning.function predict.perryTuning print.perryTuning residuals.perryTuning
Random data splitsprint.randomSplits randomSplits
Recompute resampling-based prediction error measuresreperry reperry.perry reperry.perrySelect
Set up a plot of resampling-based prediction error resultssetupPerryPlot setupPerryPlot.perry setupPerryPlot.perrySelect setupPerryPlot.perryTuning
Control object for random data splitssplitControl
Subsetting resampling-based prediction error resultssubset.perry subset.perrySelect
Summarize resampling-based prediction error resultssummary.perry summary.perrySelect summary.perryTuning