Package: NRejections 1.2.0

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.

Authors:Maya B. Mathur, Tyler J. VanderWeele

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Last updated 4 years agofrom:86a425e9a2. Checks:OK: 7. Indexed: yes.

Exports:adj_minPadj_Wstepcell_corrcorr_testsdataset_resultfit_modelfix_inputget_critmake_corr_matresample_residsim_data

Dependencies:codetoolsdoParallelforeachiteratorsmatrixcalcmvtnormRcppRcppArmadilloStepwiseTest