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>.
Version: 2.1.1 Depends: R (≥ 3.5.0) Imports: lme4, nnet, MASS, ggplot2, numDeriv, gbm, SuperLearner, survey Suggests: knitr, rmarkdown Published: 2025-03-02 DOI: 10.32614/CRAN.package.PSweight Author: Tianhui Zhou [aut], Guangyu Tong [aut], Fan Li [aut], Laine Thomas [aut], Fan Li [aut], Yukang Zeng [cre] Maintainer: Yukang Zeng <yukang.zeng at yale.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/thuizhou/PSweight NeedsCompilation: no Materials: README NEWS In views: CausalInference CRAN checks: PSweight results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=PSweight to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4