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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: | 1.5 |
| Depends: | snowfall, survival, methods |
| Suggests: | locfit, penalized, codetools |
| Published: | 2023-03-22 |
| Author: | Christine Porzelius, Harald Binder |
| Maintainer: | Frederic Bertrand <frederic.bertrand at utt.fr> |
| 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 |
| Materials: | README NEWS |
| In views: | HighPerformanceComputing, Survival |
| CRAN checks: | peperr results |
| Reference manual: | peperr.pdf |
| Package source: | peperr_1.5.tar.gz |
| Windows binaries: | r-devel: peperr_1.5.zip, r-release: peperr_1.5.zip, r-oldrel: peperr_1.5.zip |
| macOS binaries: | r-release (arm64): peperr_1.5.tgz, r-oldrel (arm64): peperr_1.5.tgz, r-release (x86_64): peperr_1.5.tgz, r-oldrel (x86_64): peperr_1.5.tgz |
| Old sources: | peperr archive |
| Reverse imports: | c060 |
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