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OVtool
View on CRAN: Click
here
Download and install OVtool package within the R console
Install from CRAN:
install.packages("OVtool")
Install from Github:
library("remotes")
install_github("cran/OVtool")
Install by package version:
library("remotes")
install_version("OVtool", "1.0.3")
Attach the package and use:
library("OVtool")
Maintained by
Lane Burgette
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-18
Latest Update: 2021-11-02
Description:
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) .
How to cite:
Lane Burgette (2021). OVtool: Omitted Variable Tool. R package version 1.0.3, https://cran.r-project.org/web/packages/OVtool. Accessed 22 Dec. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for OVtool
Functions, R codes and Examples using
the OVtool R package
Some associated functions: add_reps . es_plot . es_point_plot . find_esgrid . gen_a_finish . gen_a_start . outcome_model . ov_sim . plot.ov . prep_for_plots . pval_point_plot . sud . summary.ov .
Some associated R codes: add_pvals_plot.R . add_reps.R . es_plot.R . es_point_plot.R . find_esgrid.R . gen_a_finish.R . gen_a_start.R . outcome_model.R . ov_sim.R . plot.ov.R . prep_for_plots.R . summary.ov.R . Full OVtool package functions and examples
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