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peperr's Introduction

peperr

Parallelised Estimation of Prediction Error

Maintainer F. Bertrand

Lifecycle: stable Project Status: Active โ€“ 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")

peperr's People

Contributors

fbertran avatar

Stargazers

cswaters avatar  avatar

Watchers

James Cloos avatar Samuel Granjeaud avatar  avatar

peperr's Issues

CoxBoost

Thanks for maintaining peperr.
Will you bring back the CoxBoost fit?
Do you plan to add other fits?
Best.

Issue of renamed C function

Hi!

The new version of your package has changed the name of c function to "C_noinf". But your R function "pmpec" still calls .C("noinf". Hope it to be fixed soon. Thank you!

Best regards,
Zhi Zhao

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