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perry (version 0.1.1)

perry-package: 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.

Arguments

Details

ll{ Package: perry Type: Package Version: 0.1.1 Date: 2012-09-09 Depends: R (>= 2.14.1), ggplot2 (>= 0.9.2), parallel, robustbase Imports: stats License: GPL (>= 2) LazyLoad: yes }

Index: 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 bootPE Bootstrap prediction error estimation for fitted models bootSamples Bootstrap samples cost Prediction loss cvFolds Cross-validation folds foldControl Control object for cross-validation folds fortify.perry Convert resampling-based prediction error results into a data frame for plotting perry Resampling-based prediction error for fitted models 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 repCV (Repeated) cross-validation for fitted models repRS (Repeated) random splitting for fitted models reperry Recompute resampling-based prediction error measures splitControl Control object for random data splits subset.perry Subsetting resampling-based prediction error results summary.perry Summarize resampling-based prediction error results