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: 1.0.1
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: 2021-04-19
Author: Joseph Pane [aut, cre], Lane Burgette [aut], Beth Ann Griffin [aut], Daniel McCaffrey [aut]
Maintainer: Joseph Pane <josephp at rand.org>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: OVtool results

Downloads:

Reference manual: OVtool.pdf
Vignettes: OVtool - Omitted Variable Tool
Package source: OVtool_1.0.1.tar.gz
Windows binaries: r-devel: OVtool_1.0.1.zip, r-release: OVtool_1.0.1.zip, r-oldrel: OVtool_1.0.1.zip
macOS binaries: r-release: OVtool_1.0.1.tgz, r-oldrel: OVtool_1.0.1.tgz
Old sources: OVtool archive

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