peperr: Parallelised Estimation of Prediction Error

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. Methods used in the package are detailed in Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062> and were used, for instance, in Porzelius Ch., Schumacher M. and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.

Version:	1.6
Depends:	snowfall, survival, methods
Suggests:	glmnet, locfit, penalized, codetools, testthat (≥ 3.0.0)
Published:	2025-09-15
DOI:	10.32614/CRAN.package.peperr
Author:	Christine Porzelius [aut], Harald Binder [aut], Frederic Bertrand [cre]
Maintainer:	Frederic Bertrand <frederic.bertrand at lecnam.net>
BugReports:	https://github.com/fbertran/peperr/issues/
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/fbertran/peperr/, https://fbertran.github.io/peperr/
NeedsCompilation:	yes
Citation:	peperr citation info
Materials:	README, NEWS
In views:	HighPerformanceComputing, Survival
CRAN checks:	peperr results

Documentation:

Reference manual:

peperr.html , peperr.pdf

Downloads:

Package source:	peperr_1.6.tar.gz
Windows binaries:	r-devel: peperr_1.6.zip, r-release: peperr_1.6.zip, r-oldrel: peperr_1.6.zip
macOS binaries:	r-release (arm64): peperr_1.6.tgz, r-oldrel (arm64): peperr_1.6.tgz, r-release (x86_64): peperr_1.6.tgz, r-oldrel (x86_64): peperr_1.6.tgz
Old sources:	peperr archive

Reverse dependencies:

Reverse imports:

c060

Linking:

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