NRejections
Metrics for Multiple Testing with Correlated Outcomes
Implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.
- Version1.2.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- NRejections citation info
- Last release07/09/2020
Team
Maya B. Mathur
Maya B. Mathur, Tyler J. VanderWeele
Insights
Last 30 days
Last 365 days
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
- Imports6 packages
- Suggests1 package