nbpInference - Inference on Average Treatment Effects for Continuous Treatments
Conduct inference on the sample average treatment effect
for a matched (observational) dataset with a continuous
treatment. Equipped with calipered non-bipartite matching,
bias-corrected sample average treatment effect estimation, and
covariate-adjusted variance estimation. Matching, estimation,
and inference methods are described in Frazier, Heng and Zhou
(2024) <doi:10.48550/arXiv.2409.11701>.
