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
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medScan_1.0.2.tgz(r-4.4-any)medScan_1.0.2.tgz(r-4.3-any)
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medScan.pdf |medScan.html✨
medScan/json (API)

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

Peer review:

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

On CRAN:

3.00 score 5 scripts 185 downloads 1 exports 39 dependencies

Last updated 9 months agofrom:ae93631eb5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:medScan

Dependencies:calibrateclicolorspacefansifarverfdrtoolggplot2gluegtableHDMTisobandlabelinglatticelifecyclelocfdrmagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqqmanqvalueR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr