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) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("OVtool")

1.0.3 by Lane Burgette, a month ago


Browse source code at https://github.com/cran/OVtool


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