peperr: 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) <doi:10.1093/bioinformatics/btp062>
and were used, for instance, in
Porzelius Ch., Schumacher M. and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.
| Version: |
1.6 |
| Depends: |
snowfall, survival, methods |
| Suggests: |
glmnet, locfit, penalized, codetools, testthat (≥ 3.0.0) |
| Published: |
2025-09-15 |
| Author: |
Christine Porzelius [aut],
Harald Binder [aut],
Frederic Bertrand [cre] |
| Maintainer: |
Frederic Bertrand <frederic.bertrand at lecnam.net> |
| BugReports: |
https://github.com/fbertran/peperr/issues/ |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/fbertran/peperr/,
https://fbertran.github.io/peperr/ |
| NeedsCompilation: |
yes |
| Citation: |
peperr citation info |
| Materials: |
README, NEWS |
| In views: |
HighPerformanceComputing, Survival |
| CRAN checks: |
peperr results |
Documentation:
Downloads:
Reverse dependencies:
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