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
Insights
Last 30 days
This package has been downloaded 919 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,599 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Dec 02, 2024 with 326 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports7 packages
- Suggests2 packages
- Reverse Imports2 packages
- Reverse Suggests1 package