Implements a simulation study to assess the strengths and weaknesses of causal inference methods for estimating policy effects using panel data. See Griffin et al. (2021) <doi:10.1007/s10742-022-00284-w> and Griffin et al. (2022) <doi:10.1186/s12874-021-01471-y> for a description of our methods.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | did,dplyr,future.apply,lmtest,magrittr,MASS, methods,purrr,R6,rlang,sandwich, stats,tidyr, utils |
| Suggests: | knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2023-08-08 |
| DOI: | 10.32614/CRAN.package.optic |
| Author: | Beth Ann Griffin [aut, cph], Pedro Nascimento de Lima [cre, aut], Max Griswold [aut], Adam Scherling [aut], Joseph Pane [aut], Geoffrey Grimm [aut] |
| Maintainer: | Pedro Nascimento de Lima <plima at rand.org> |
| BugReports: | https://github.com/randcorporation/optic/issues |
| License: | GPL-3 |
| URL: | https://randcorporation.github.io/optic/,https://github.com/randcorporation/optic |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | optic results |