Package index • peperr

All functions

PLL(<CoxBoost>): Predictive partial log-likelihood for a CoxBoost model fit
PLL(): Generic function for extracting the predictive partial log-likelihood
PLL(<coxph>): Predictive partial log-likelihood for Cox poportional hazards model
PLL(<penfit>): Predictive partial log-likelihood for penalized Cox models
fit.SGL.cox() complexity.cvSGL.cox() predictProb(<SGL_cox>) PLL(<SGL_cox>): Sparse-group-lasso Cox backend
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.cv.penalized() complexity.LASSO() complexity.fusedLASSO(): Complexity selection helpers for penalized backends
complexity.ipec.CoxBoost() complexity.ripec.CoxBoost(): Interface function for CoxBoost complexity selection via integrated prediction error curves
complexity.mincv.CoxBoost(): Interface for CoxBoost selection of the optimal number of boosting steps via cross-validation
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.penalized() fit.LASSO() fit.fusedLASSO(): Penalized backend fitting wrappers
fit.coxph(): Interface function for fitting a Cox proportional hazards model
fit.glmnet() complexity.cv.glmnet() predictProb(<coxnet>) PLL(<coxnet>): glmnet Cox backend
fit.grpsurv() complexity.cv.grpsurv() predictProb(<grpsurv>) PLL(<grpsurv>): grpreg grouped Cox backend
ipec(): Integrated prediction error curve
fit.mboost.coxph() complexity.cvrisk.mboost() predictProb(<mboost_coxph>) PLL(<mboost_coxph>): mboost Cox backend
fit.ncvsurv() complexity.cv.ncvsurv() predictProb(<ncvsurv>) PLL(<ncvsurv>): ncvreg survival backend
peperr(): Parallelised Estimation of Prediction Error
perr(): Prediction error estimates
plot(<peperr>): Plot method for peperr object
pmpec(): Calculate prediction error curves
predictProb(<CoxBoost>): Extract predicted survival probabilities from a CoxBoost fit
predictProb(): Generic function for extracting predicted survival probabilities
predictProb(<coxph>): Extract predicted survival probabilities from a coxph object
predictProb(<penfit>): Predicted survival probabilities for penalized Cox models
predictProb(<survfit>): Extract predicted survival probabilities from a survfit object
fit.rfsrc() complexity.oob.rfsrc() predictProb(<rfsrc>): randomForestSRC survival backend
resample.indices(): Generation of indices for resampling Procedure