This tool was designed to assess the sensitivity of research findings to omitted variables when estimating causal effects using propensity score (PS) weighting. This tool produces graphics and summary results that will enable a researcher to quantify the impact an omitted variable would have on their results. Burgette et al. (2021) describe the methodology behind the primary function in this package, ov_sim. The method is demonstrated in Griffin et al. (2020) <doi:10.1016/j.jsat.2020.108075>.
Version: 1.0.3 Depends: R (≥ 2.10), twang Imports: Amelia, EnvStats, devtools, dplyr, ggplot2, ggrepel, glue, magrittr, metR, purrr, progress, rlang, survey, stats, tibble, tidyselect, varhandle Suggests: rmarkdown, knitr Published: 2021-11-02 DOI: 10.32614/CRAN.package.OVtool Author: Lane Burgette [aut, cre], Joseph Pane [aut], Beth Ann Griffin [aut], Daniel McCaffrey [aut] Maintainer: Lane Burgette <burgette at rand.org> License: GPL-3 NeedsCompilation: no Materials: README In views: CausalInference CRAN checks: OVtool results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=OVtool to link to this page.
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