Superefficient Estimation of Future Conditional Hazards Based on Marker Information

---

Documentation for package ‘HQM’ version 0.1.0

• DESCRIPTION file.

Help Pages

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
Epan	Epanechnikov kernel and pdf kernel estimate
get_alpha	Marker-only hazard rate
get_h_x	Future conditional hazard rate for all time values
g_xt	Computation of a key component for wild bootstrap
h_xt	Future conditional hazard rate
h_xt_vec	Hqm estimator on the marker grid
K_b	Epanechnikov kernel and pdf kernel estimate
K_b_mat	Epanechnikov kernel and pdf kernel estimate
lin_interpolate	Linear interpolation
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
to_id	Event data frame