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README.md
In peperr: Parallelised Estimation of Prediction Error
peperr
Parallelised Estimation of Prediction Error 
Maintainer F. Bertrand
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")
Try the peperr package in your browser
Any scripts or data that you put into this service are public.
peperr documentation built on March 31, 2023, 7:34 p.m.
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peperr
Parallelised Estimation of Prediction Error
Maintainer F. Bertrand
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")
Try the peperr package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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