peperr: Parallelised Estimation of Prediction Error. Package 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.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Porzelius, Christine: Model complexity selection in high-dimensional time-to-event data analysis (2011)
- Porzelius, Christine; Schumacher, Martin; Binder, Harald: The benefit of data-based model complexity selection via prediction error curves in time-to-event data (2011)