OVtool: Omitted Variable Tool

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


Reference manual: OVtool.pdf
Vignettes: OVtool - Omitted Variable Tool


Package source: OVtool_1.0.3.tar.gz
Windows binaries: r-devel: OVtool_1.0.3.zip, r-release: OVtool_1.0.3.zip, r-oldrel: OVtool_1.0.3.zip
macOS binaries: r-release (arm64): OVtool_1.0.3.tgz, r-oldrel (arm64): OVtool_1.0.3.tgz, r-release (x86_64): OVtool_1.0.3.tgz, r-oldrel (x86_64): OVtool_1.0.3.tgz
Old sources: OVtool archive


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