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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>.
Getting started
Browse package contents
Package details |
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| Author | Christine Porzelius [aut], Harald Binder [aut], Frederic Bertrand [cre] |
| Maintainer | Frederic Bertrand <frederic.bertrand@lecnam.net> |
| License | GPL (>= 2) |
| Version | 1.6 |
| URL | https://github.com/fbertran/peperr/ https://fbertran.github.io/peperr/ |
| Package repository | View on CRAN |
| Installation |
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