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.

AuthorChristine Porzelius, Harald Binder
Date of publication2013-04-08 16:10:47
MaintainerChristine Porzelius <cp@imbi.uni-freiburg.de>
LicenseGPL (>= 2)
Version1.1-7

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Man pages

aggregation.brier: Determine the Brier score for a fitted model

aggregation.misclass: Determine the missclassification rate for a fitted model

aggregation.pmpec: Determine the prediction error curve for a fitted model

complexity.ipec.CoxBoost: Interface function for complexity selection for CoxBoost via...

complexity.LASSO: Interface for selection of optimal parameter for lasso fit

complexity.mincv.CoxBoost: Interface for CoxBoost selection of optimal number of...

extract.fun: Extract functions, libraries and global variables to be...

fit.CoxBoost: Interface function for fitting a CoxBoost model

fit.coxph: Interface function for fitting a Cox proportional hazards...

fit.LASSO: Interface function for fitting a generalised linear model...

ipec: Integrated prediction error curve

peperr: Parallelised Estimation of Prediction Error

perr: Prediction error estimates

PLL: Generic function for extracting the predictive partial...

PLL.CoxBoost: Predictive partial log-likelihood for CoxBoost model fit

PLL.coxph: Predictive partial log-likelihood for Cox poportional hazards...

plot.peperr: Plot method for peperr object

pmpec: Calculate prediction error curves

predictProb: Generic function for extracting predicted survival...

predictProb.CoxBoost: Extract predicted survival probabilities from a CoxBoost fit

predictProb.coxph: Extract predicted survival probabilities from a coxph object

predictProb.survfit: Extract predicted survival probabilities from a survfit...

resample.indices: Generation of indices for resampling Procedure

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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