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 integrated prediction error curve and the bootstrap |
complexity.ipec.rsf_mtry |
Interface function for complexity selection for random survival forest via integrated prediction error curve and the bootstrap |
complexity.LASSO |
Interface for selection of optimal parameter for lasso fit |
complexity.mincv.CoxBoost |
Interface for CoxBoost selection of optimal number of boosting steps via cross-validation |
complexity.ripec.CoxBoost |
Interface function for complexity selection for CoxBoost via integrated prediction error curve and the bootstrap |
extract.fun |
Extract functions, libraries and global variables to be loaded onto a compute cluster |
fit.CoxBoost |
Interface function for fitting a CoxBoost model |
fit.coxph |
Interface function for fitting a Cox proportional hazards model |
fit.LASSO |
Interface function for fitting a generalised linear model with the lasso |
fit.rsf_mtry |
Interface function for fitting a random survival forest |
ipec |
Integrated prediction error curve |
peperr |
Parallelised Estimation of Prediction Error |
perr |
Prediction error estimates |
PLL |
Generic function for extracting the predictive partial log-likelihood |
PLL.CoxBoost |
Predictive partial log-likelihood for CoxBoost model fit |
PLL.coxph |
Predictive partial log-likelihood for Cox poportional hazards model |
plot.peperr |
Plot method for peperr object |
pmpec |
Calculate prediction error curves |
predictProb |
Generic function for extracting predicted survival probabilities |
predictProb.CoxBoost |
Extract predicted survival probabilities from a CoxBoost fit |
predictProb.coxph |
Extract predicted survival probabilities from a coxph object |
predictProb.rsf |
Extract predicted survival probabilities from a random survival forest fit |
predictProb.survfit |
Extract predicted survival probabilities from a survfit object |
resample.indices |
Generation of indices for resampling Procedure |