Tools that allow developers to write functions for prediction error estimation with minimal programming effort and assist users with model selection in regression problems.
| Package: | perry |
| Type: | Package |
| Version: | 0.2.0 |
| Date: | 2013-03-12 |
| 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
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-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
splitControl Control object for random data splits
subset.perry Subsetting resampling-based prediction error
results
summary.perry Summarize resampling-based prediction error
results