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) .


Reference manual

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1.0.3 by Lane Burgette, a month ago

Browse source code at

Authors: Lane Burgette [aut, cre] , Joseph Pane [aut] , Beth Ann Griffin [aut] , Daniel McCaffrey [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Amelia, EnvStats, devtools, dplyr, ggplot2, ggrepel, glue, magrittr, metR, purrr, progress, rlang, survey, stats, tibble, tidyselect, varhandle

Depends on twang

Suggests rmarkdown, knitr

See at CRAN