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.
- Version1.0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release11/02/2021
Documentation
Team
Lane Burgette
Joseph Pane
Show author detailsRolesAuthorBeth Ann Griffin
Show author detailsRolesAuthorDaniel McCaffrey
Show author detailsRolesAuthor
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- Depends1 package
- Imports16 packages
- Suggests2 packages