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.
- Version1.2.0
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release03/29/2024
Documentation
Team
Yukang Zeng
Fan Li
Show author detailsRolesAuthorGuangyu Tong
Show author detailsRolesAuthorTianhui Zhou
Show author detailsRolesAuthorLaine Thomas
Show author detailsRolesAuthor
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- Imports7 packages
- Suggests2 packages
- Reverse Imports2 packages
- Reverse Suggests1 package