Installation
About
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.
github.com/thuizhou/PSweight |
Key Metrics
Downloads
Yesterday | 35 +106% |
Last 7 days | 153 +10% |
Last 30 days | 638 -17% |
Last 90 days | 2.077 +14% |
Last 365 days | 8.001 -18% |