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 |
| 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 |