Superefficient Estimation of Future Conditional Hazards Based on Marker Information

[Up] [Top]

Documentation for package ‘HQM’ version 1.1

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
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
lin_interpolate_plus Interpolate marker values onto a time grid
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
to_id Event data frame
xK_b Classical (unmodified) kernel and related functionals