R: Superefficient Estimation of Future Conditional Hazards Based on Marker Information

# Superefficient Estimation of Future Conditional Hazards Based on Marker Information

## Documentation for package ‘HQM’ version 2.1

- DESCRIPTION file

## Help Pages

auc.hqm | AUC for the High Quality Marker estimator
Boot.hqm | Indexed HQM hazard estimator for one bootstrap sample
Boot.hrandindex.param | Bootstrap Estimation of Hazard Function and Index Parameters
bs.hqm | Brier score for the High Quality Marker estimator
BwB.HRandIndex.param | Bootstrap Estimation of Hazard Function and Index Parameters
b_selection | Cross validation bandwidth selection
b_selection_index_optim | Cross validation index parameter selection
b_selection_prep_g | Preparations for bandwidth selection
Compute.iid.KM | Compute.iid.KM function implementation
compute_iid_decomposition | IID decomposition for time-dependent AUC with IPCW
compute_iid_decomposition_competing_risks | IID decomposition for time-dependent AUC with IPCW
compute_iid_decomposition_survival | IID decomposition for time-dependent AUC with IPCW
Conf_bands | Confidence bands
dataset_split | Split dataset for K-fold cross validation
dij | D matrix entries, used for the implementation of the local linear kernel
Epan | Epanechnikov kernel
get_alpha | Marker-only hazard rate
get_h_x | Local constant future conditional hazard rate estimator
get_h_xll | Local linear future conditional hazard rate estimator
g_xt | Computation of a key component for wild bootstrap
h_xt | Local constant future conditional hazard rate estimation at a single time point
h_xtll | Local linear future conditional hazard rate estimation at a single time point
h_xt_vec | Hqm estimator on the marker grid
index_optim | Indexing parameter objective function
K_b | Classical (unmodified) kernel and related functionals
K_b_mat | Classical (unmodified) kernel and related functionals
lin_interpolate | Linear interpolation
llK_b | Local linear kernel
make_N | Occurance and Exposure on grids
make_Ni | Occurance and Exposure on grids
make_sf | Survival function from a hazard
make_Y | Occurance and Exposure on grids
make_Yi | Occurance and Exposure on grids
pbc2 | Mayo Clinic Primary Biliary Cirrhosis Data
pbc2.id | Mayo Clinic Primary Biliary Cirrhosis Data
Pivot.Index.CIs | Compute Pivot Pointwise Confidence Intervals for the Indexed Hazard Rate Estimate
prep_boot | Precomputation for wild bootstrap
prep_cv | Prepare for Cross validation bandwidth selection
prep_cv2 | Prepare for Cross validation index parameter selection
Q1 | Bandwidth selection score Q1
Quantile.Index.CIs | Compute Quantile Pointwise Confidence Intervals for for the Indexed Hazard Rate Estimate
R_K | Bandwidth selection score R
Sim.True.Hazard | Simulated true hazard (bootstrap average)
SingleIndCondFutHaz | Local linear future conditional hazard estimator (wrapper)
sn.0 | Local linear weight functions
sn.1 | Local linear weight functions
sn.2 | Local linear weight functions
StudentizedBwB.Index.CIs | Compute Studentized Double Bootstrap Pointwise Confidence Intervals for the Indexed Hazard Rate Estimate
timeROC | Time-dependent ROC curve estimation
to_id | Event data frame
xK_b | Classical (unmodified) kernel and related functionals