| auc.hqm |
AUC for the High Quality Marker estimator |
| bs.hqm |
Brier score for the High Quality Marker estimator |
| b_selection |
Cross validation bandwidth 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 |
| 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 |
| prep_boot |
Precomputation for wild bootstrap |
| prep_cv |
Prepare for Cross validation bandwidth selection |
| Q1 |
Bandwidth selection score Q1 |
| R_K |
Bandwidth selection score R |
| sn.0 |
Local linear weight functions |
| sn.1 |
Local linear weight functions |
| sn.2 |
Local linear weight functions |
| to_id |
Event data frame |
| xK_b |
Classical (unmodified) kernel and related functionals |
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