R package 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.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Martin Sill; Thomas Hielscher; Natalia Becker; Manuela Zucknick: c060: Extended Inference with Lasso and Elastic-Net Regularized Cox and Generalized Linear Models (2014) not zbMATH
- Ulla Mogensen; Hemant Ishwaran; Thomas Gerds: Evaluating Random Forests for Survival Analysis Using Prediction Error Curves (2012) not zbMATH
- 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)