Superefficient Estimation of Future Conditional Hazards Based on Marker Information
AUC for the High Quality Marker estimator
Cross validation index parameter selection
Preparations for bandwidth selection
Cross validation bandwidth selection
Indexed HQM hazard estimator for one bootstrap sample
Bootstrap Estimation of Hazard Function and Index Parameters
Brier score for the High Quality Marker estimator
Bootstrap Estimation of Hazard Function and Index Parameters
Confidence bands
Split dataset for K-fold cross validation
D matrix entries, used for the implementation of the local linear kern...
Epanechnikov kernel
Occurance and Exposure on grids
Computation of a key component for wild bootstrap
Marker-only hazard rate
Local constant future conditional hazard rate estimator
Local linear future conditional hazard rate estimator
Hqm estimator on the marker grid
Local constant future conditional hazard rate estimation at a single t...
Local linear future conditional hazard rate estimation at a single tim...
Indexing parameter objective function
Classical (unmodified) kernel and related functionals
Linear interpolation
Local linear kernel
Local linear weight functions
Survival function from a hazard
Compute Pivot Pointwise Confidence Intervals for the Indexed Hazard Ra...
Precomputation for wild bootstrap
Prepare for Cross validation bandwidth selection
Prepare for Cross validation index parameter selection
Bandwidth selection score Q1
Compute Quantile Pointwise Confidence Intervals for for the Indexed Ha...
Bandwidth selection score R
Simulated true hazard (bootstrap average)
Local linear future conditional hazard estimator (wrapper)
Compute Studentized Double Bootstrap Pointwise Confidence Intervals fo...
Event data frame
Provides univariate and indexed (multivariate) nonparametric smoothed kernel estimators for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) <doi:10.1093/biomet/asaf008>.