Package: OVtool
Type: Package
Title: Omitted Variable Tool
Version: 1.0.3
Authors@R: c(person(given = "Lane", family = "Burgette", role = c("aut", "cre"),
                    email = "burgette@rand.org"),
             person(given = "Joseph", family = "Pane", role = "aut"),
             person(given = "Beth Ann", family = "Griffin", role = "aut"),
             person(given = "Daniel", family = "McCaffrey", role = "aut"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Amelia, EnvStats, devtools, dplyr, ggplot2, ggrepel, glue,
        magrittr, metR, purrr, progress, rlang, survey, stats, tibble,
        tidyselect, varhandle
Suggests: rmarkdown, knitr
Depends: R (>= 2.10), twang
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-10-25 17:55:10 UTC; burgette
Author: Lane Burgette [aut, cre],
  Joseph Pane [aut],
  Beth Ann Griffin [aut],
  Daniel McCaffrey [aut]
Maintainer: Lane Burgette <burgette@rand.org>
Repository: CRAN
Date/Publication: 2021-11-02 08:10:07 UTC
Built: R 4.6.0; ; 2026-03-10 04:23:13 UTC; windows
