optic: Simulation Tool for Causal Inference Using Longitudinal Data

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 ORCID iD [aut, cph], Pedro Nascimento de Lima ORCID iD [cre, aut], Max Griswold ORCID iD [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


Reference manual: optic.pdf
Vignettes: Introduction to OPTIC


Package source: optic_1.0.1.tar.gz
Windows binaries: r-devel: optic_1.0.1.zip, r-release: optic_1.0.1.zip, r-oldrel: optic_1.0.1.zip
macOS binaries: r-release (arm64): optic_1.0.1.tgz, r-oldrel (arm64): optic_1.0.1.tgz, r-release (x86_64): optic_1.0.1.tgz, r-oldrel (x86_64): optic_1.0.1.tgz
Old sources: optic archive


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