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.


Changes in perry version 0.2.0

+ New argument 'final' in perryTuning() to include final model with optimal 
  combination of tuning paramters.

+ Wrapper functions repCV(), repRS() and bootPE() are now deprecated.

Changes in perry version 0.1.1

+ Plots are no longer using the opts() function from package ggplot2, which 
  is deprecated since ggplot2 version 0.9.2.

Reference manual

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0.3.0 by Andreas Alfons, 9 days ago

Browse source code at

Authors: Andreas Alfons [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, utils

Depends on ggplot2, parallel

Suggests robustbase

Depended on by robustHD.

See at CRAN