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) and were used, for instance, in Porzelius Ch., Schumacher M. and Binder H. (2011) .

peperr

Parallelised Estimation of Prediction Error

Maintainer F. Bertrand

https://doi.org/10.32614/CRAN.package.peperr

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")