Superefficient Estimation of Future Conditional Hazards Based on
Marker Information
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Documentation for package ‘HQM’ version 2.2
Help Pages
| AUC.hat | Time-dependent ROC curve estimation |
| AUC.hat.HQM | AUC for the High Quality Marker estimator |
| bootstrap.CI.pivotal | Compute Pivot Pointwise Confidence Intervals for the Indexed Hazard Rate Estimate |
| bootstrap.CI.quantile | Compute Quantile Pointwise Confidence Intervals for for the Indexed Hazard Rate Estimate |
| bootstrap.CI.studentized | Compute Studentized Double Bootstrap Pointwise Confidence Intervals for the Indexed Hazard Rate Estimate |
| bootstrap.h.hat.star | Bootstrap Estimation of Hazard Function and Index Parameters |
| BS.hat.HQM | Brier score for the High Quality Marker estimator |
| c0.u | Local linear weight functions |
| c1.u | Local linear weight functions |
| c1.u.integrand | Classical (unmodified) kernel and related functionals |
| c2.u | Local linear weight functions |
| c2.u.integrand | D matrix entries, used for the implementation of the local linear kernel |
| confidence.bands | Confidence bands |
| CV.b | Cross validation bandwidth selection |
| CV.theta | Cross validation index parameter selection |
| data.minus.I.j | Split dataset for K-fold cross validation |
| double.bootstrap.h.hat.star | Bootstrap Estimation of Hazard Function and Index Parameters |
| g.hat.i | Preparations for bandwidth selection |
| g.hat.t.x | Computation of a key component for wild bootstrap |
| get.alpha.hat | Marker-only hazard rate |
| get.h.hat.x | Local constant future conditional hazard rate estimator |
| get.h.hat.x.theta | Local linear future conditional hazard estimator (wrapper) |
| get.h.tilde.x | Local linear future conditional hazard rate estimator |
| h.hat.minus.I.j | Prepare for Cross validation bandwidth selection |
| h.hat.minus.I.j.theta | Prepare for Cross validation index parameter selection |
| h.hat.star.x.theta | Indexed HQM hazard estimator for one bootstrap sample |
| h.hat.x.t | Local constant future conditional hazard rate estimation at a single time point |
| h.hat.x.t.vec | Hqm estimator on the marker grid |
| h.tilde.x.t | Local linear future conditional hazard rate estimation at a single time point |
| h.true.simulated | Simulated true hazard (bootstrap average) |
| iid.AUC.hat | IID decomposition for time-dependent AUC with IPCW |
| iid.AUC.hat.competing.risks | IID decomposition for time-dependent AUC with IPCW |
| iid.AUC.hat.survival | IID decomposition for time-dependent AUC with IPCW |
| iid.G.hat | iid.G.hat function implementation |
| K.b | Classical (unmodified) kernel and related functionals |
| K.b.matrix | Classical (unmodified) kernel and related functionals |
| K.b.u.v | Local linear kernel |
| K.Epanechnikov | Epanechnikov kernel |
| make.dN | Occurance and Exposure on grids |
| make.dN.i | Occurance and Exposure on grids |
| make.S.hat | Survival function from a hazard |
| make.Z.ds | Occurance and Exposure on grids |
| make.Z.i.ds | Occurance and Exposure on grids |
| pbc2 | Mayo Clinic Primary Biliary Cirrhosis Data |
| pbc2.id | Mayo Clinic Primary Biliary Cirrhosis Data |
| Q.theta | Indexing parameter objective function |
| Q1 | Bandwidth selection score Q1 |
| R.hat.K | Bandwidth selection score R |
| to.id | Event data frame |
| wild.bootstrap.summands | Precomputation for wild bootstrap |
| X.i.s.interpolate | Linear interpolation |