R: Estimation of Conditional Average Treatment Effects with High-Dimensional Data

# Estimation of Conditional Average Treatment Effects with High-Dimensional Data

## Documentation for package ‘hdcate’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

HDCATE | High-Dimensional Conditional Average Treatment Effects (HDCATE) Estimator
HDCATE.fit | Fit the HDCATE function
HDCATE.get_sim_data | Get simulation data
HDCATE.inference | Construct uniform confidence bands
HDCATE.plot | Plot HDCATE function and the uniform confidence bands
HDCATE.set_bw | Set bandwidth
HDCATE.set_condition_var | Set the conditional variable in CATE
HDCATE.set_first_stage | Set user-defined first-stage estimating methods
HDCATE.unset_first_stage | Clear the user-defined first-stage estimating methods
HDCATE.use_cross_fitting | Use k-fold cross-fitting estimator
HDCATE.use_full_sample | Use full-sample estimator