informedSen
Sensitivity Analysis Informed by a Test for Bias
After testing for biased treatment assignment in an observational study using an unaffected outcome, the sensitivity analysis is constrained to be compatible with that test. The package uses the optimization software gurobi obtainable from https://www.gurobi.com/, together with its associated R package, also called gurobi; see: https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html. The method is a substantial computational and practical enhancement of a concept introduced in Rosenbaum (1992) Detecting bias with confidence in observational studies Biometrika, 79(2), 367-374 doi:10.1093/biomet/79.2.367.
- Version1.0.7
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release08/04/2021
Team
Paul R Rosenbaum
Insights
Last 30 days
This package has been downloaded 180 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,427 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 31 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Reverse Suggests1 package