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: 1.1-7
Depends: snowfall, survival
Suggests: CoxBoost, locfit, penalized, codetools
Published: 2013-04-08
Author: Christine Porzelius, Harald Binder
Maintainer: Christine Porzelius <cp at>
BugReports: NA
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
In views: HighPerformanceComputing, Survival
CRAN checks: peperr results


Reference manual: peperr.pdf
Package source: peperr_1.1-7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: peperr_1.1-7.tgz, r-oldrel: peperr_1.1-7.tgz
Old sources: peperr archive

Reverse dependencies:

Reverse imports: c060