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

NRejections_1.2.0.tar.gz
NRejections_1.2.0.zip(r-4.7)NRejections_1.2.0.zip(r-4.6)NRejections_1.2.0.zip(r-4.5)
NRejections_1.2.0.tgz(r-4.6-any)NRejections_1.2.0.tgz(r-4.5-any)
NRejections_1.2.0.tar.gz(r-4.7-any)NRejections_1.2.0.tar.gz(r-4.6-any)
NRejections_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
NRejections/json (API)

# Install 'NRejections' in R:
install.packages('NRejections', repos = c('https://mayamathur.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.15 score 14 scripts 212 downloads 11 exports 9 dependencies

Last updated from:86a425e9a2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK170
linux-release-x86_64OK103
macos-release-arm64OK87
macos-oldrel-arm64OK75
windows-develOK95
windows-releaseOK65
windows-oldrelOK73
wasm-releaseOK93

Exports:adj_minPadj_Wstepcell_corrcorr_testsdataset_resultfit_modelfix_inputget_critmake_corr_matresample_residsim_data

Dependencies:codetoolsdoParallelforeachiteratorsmatrixcalcmvtnormRcppRcppArmadilloStepwiseTest