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>.

Getting started

Package details

AuthorChristine Porzelius, Harald Binder
MaintainerFrederic Bertrand <frederic.bertrand@utt.fr>
LicenseGPL (>= 2)
Version1.3
URL https://github.com/fbertran/peperr/ https://fbertran.github.io/peperr/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("peperr")

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peperr documentation built on March 16, 2021, 9:06 a.m.