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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.