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NRejections  

Metrics for Multiple Testing with Correlated Outcomes
View on CRAN: Click here


Download and install NRejections package within the R console
Install from CRAN:
install.packages("NRejections")

Install from Github:
library("remotes")
install_github("cran/NRejections")

Install by package version:
library("remotes")
install_version("NRejections", "1.2.0")



Attach the package and use:
library("NRejections")
Maintained by
Maya B. Mathur
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-08-20
Latest Update: 2020-07-09
Description:
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.
How to cite:
Maya B. Mathur (2018). NRejections: Metrics for Multiple Testing with Correlated Outcomes. R package version 1.2.0, https://cran.r-project.org/web/packages/NRejections. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-08-20 11:00)
Other packages that cited NRejections R package
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Other R packages that NRejections depends, imports, suggests or enhances
Complete documentation for NRejections
Functions, R codes and Examples using the NRejections R package
Some associated functions: adj_Wstep . adj_minP . cell_corr . corr_tests . dataset_result . fit_model . fix_input . get_crit . make_corr_mat . resample_resid . sim_data . 
Some associated R codes: NRejections.R .  Full NRejections package functions and examples
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