peperr: Parallelised Estimation of Prediction Error

Package peperr is designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution on a compute cluster. Newly developed model fitting routines can be easily incorporated.

Version: 1.1-1
Depends: snowfall, survival
Suggests: CoxBoost, locfit, penalized, codetools
Author: Christine Porzelius, Harald Binder
Maintainer: Christine Porzelius <cp at fdm.uni-freiburg.de>
License: GPL (≥2)
In views: Survival
CRAN checks: peperr results

Downloads:

Package source: peperr_1.1-1.tar.gz
MacOS X binary: peperr_1.1-1.tgz
Windows binary: peperr_1.1-1.zip
Reference manual: peperr.pdf
News/ChangeLog:ChangeLog
Old sources: peperr archive