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peperr

Parallelised Estimation of Prediction Error

Maintainer F. Bertrand

Lifecycle: stable Project Status: Active – The project has reached a stable, usable state and is being actively developed. R-CMD-check Codecov test coverage CRAN status CRAN RStudio mirror downloads GitHub Repo stars DOI

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

Installation

You can install the released version of peperr from CRAN with:

install.packages("peperr")

And the development version from GitHub with:

install.packages("devtools")
devtools::install_github("fbertran/peperr")