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peperr  

Parallelised Estimation of Prediction Error
View on CRAN: Click here


Download and install peperr package within the R console
Install from CRAN:
install.packages("peperr")

Install from Github:
library("remotes")
install_github("cran/peperr")

Install by package version:
library("remotes")
install_version("peperr", "1.6")



Attach the package and use:
library("peperr")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2008-07-15
Latest Update: 2023-03-22
Description:
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) .
How to cite:
Frederic Bertrand (2008). peperr: Parallelised Estimation of Prediction Error. R package version 1.6, https://cran.r-project.org/web/packages/peperr. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0-1 (2008-07-29 18:12), 1.0-2 (2008-08-13 11:47), 1.0-3 (2008-09-02 17:21), 1.0 (2008-07-15 21:23), 1.1-1 (2008-12-18 18:55), 1.1-2 (2009-01-22 09:36), 1.1-3 (2009-04-23 10:40), 1.1-4 (2009-09-28 09:51), 1.1-5 (2010-01-22 08:15), 1.1-6 (2011-03-16 21:03), 1.1-7.1 (2019-01-25 21:36), 1.1-7 (2013-04-08 16:10), 1.1 (2008-10-29 17:47), 1.2 (2021-02-27 12:10), 1.3 (2021-03-16 07:50), 1.4 (2022-03-03 16:50), 1.5 (2023-03-22 14:40), 1.6 (2025-09-15 08:50)
Other packages that cited peperr R package
View peperr citation profile
Other R packages that peperr depends, imports, suggests or enhances
Complete documentation for peperr
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