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.

Author
Christine Porzelius, Harald Binder
Date of publication
2013-04-08 16:10:47
Maintainer
Christine Porzelius <cp@imbi.uni-freiburg.de>
License
GPL (>= 2)
Version
1.1-7

View on CRAN

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

Files in this package

peperr
peperr/MD5
peperr/man
peperr/man/predictProb.survfit.Rd
peperr/man/perr.Rd
peperr/man/predictProb.CoxBoost.Rd
peperr/man/predictProb.coxph.Rd
peperr/man/complexity.mincv.CoxBoost.Rd
peperr/man/PLL.CoxBoost.Rd
peperr/man/fit.LASSO.Rd
peperr/man/extract.fun.Rd
peperr/man/PLL.Rd
peperr/man/complexity.LASSO.Rd
peperr/man/PLL.coxph.Rd
peperr/man/aggregation.pmpec.Rd
peperr/man/ipec.Rd
peperr/man/aggregation.misclass.Rd
peperr/man/aggregation.brier.Rd
peperr/man/fit.CoxBoost.Rd
peperr/man/fit.coxph.Rd
peperr/man/pmpec.Rd
peperr/man/peperr.Rd
peperr/man/complexity.ipec.CoxBoost.Rd
peperr/man/predictProb.Rd
peperr/man/resample.indices.Rd
peperr/man/plot.peperr.Rd
peperr/NAMESPACE
peperr/src
peperr/src/noinf.c
peperr/changeLog
peperr/R
peperr/R/complexity.LASSO.R
peperr/R/aggregation.misclass.R
peperr/R/extract.fun.R
peperr/R/predictProb2.CoxBoost.R
peperr/R/fit.LASSO.R
peperr/R/aggregation.pmpec.R
peperr/R/PLL.CoxBoost.R
peperr/R/predictProb.survfit.R
peperr/R/summary.peperr.R
peperr/R/PLL.R
peperr/R/peperr.R
peperr/R/complexity.ripec.CoxBoost.R
peperr/R/predictProb.CoxBoost.R
peperr/R/plot.peperr.R
peperr/R/aggregation.brier.R
peperr/R/print.peperr.R
peperr/R/resample.indices.R
peperr/R/complexity.mincv.CoxBoost.R
peperr/R/PLL.coxph.R
peperr/R/predictProb.R
peperr/R/ipec.R
peperr/R/extract.R
peperr/R/fit.coxph.R
peperr/R/complexity.ipec.CoxBoost.R
peperr/R/perr.R
peperr/R/pmpec.R
peperr/R/fit.CoxBoost.R
peperr/R/predictProb.coxph.R
peperr/DESCRIPTION