PSweight - Propensity Score Weighting for Causal Inference with
Observational Studies and Randomized Trials
Supports propensity score weighting analysis of
observational studies and randomized trials. Enables the
estimation and inference of average causal effects with binary
and multiple treatments using overlap weights (ATO), inverse
probability of treatment weights (ATE), average treatment
effect among the treated weights (ATT), matching weights (ATM)
and entropy weights (ATEN), with and without propensity score
trimming. These weights are members of the family of balancing
weights introduced in Li, Morgan and Zaslavsky (2018)
<doi:10.1080/01621459.2016.1260466> and Li and Li (2019)
<doi:10.1214/19-AOAS1282>.
