Package: medScan 1.0.2

Michael Kleinsasser

medScan: Large Scale Single Mediator Hypothesis Testing

A collection of methods for large scale single mediator hypothesis testing. The six included methods for testing the mediation effect are Sobel's test, Max P test, joint significance test under the composite null hypothesis, high dimensional mediation testing, divide-aggregate composite null test, and Sobel's test under the composite null hypothesis. Du et al (2023) <doi:10.1002/gepi.22510>.

Authors:Jiacong Du [aut], Michael Kleinsasser [cre]

medScan_1.0.2.tar.gz
medScan_1.0.2.zip(r-4.7)medScan_1.0.2.zip(r-4.6)medScan_1.0.2.zip(r-4.5)
medScan_1.0.2.tgz(r-4.6-any)medScan_1.0.2.tgz(r-4.5-any)
medScan_1.0.2.tar.gz(r-4.7-any)medScan_1.0.2.tar.gz(r-4.6-any)
medScan_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
medScan/json (API)

# Install 'medScan' in R:

install.packages('medScan', repos = c('https://umich-cphds.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umich-cphds/medscan/issues

On CRAN:

2.70 score 5 scripts 175 downloads 1 exports 30 dependencies

Last updated from:ae93631eb5. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	121
source / vignettes	OK	199
linux-release-x86_64	OK	135
macos-release-arm64	OK	152
macos-oldrel-arm64	OK	118
windows-devel	OK	89
windows-release	OK	85
windows-oldrel	OK	86
wasm-release	OK	110