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, J., Zhou, X., Hao, W., Liu, Y., Smith, J. A., & Mukherjee, B (2022) "Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons." arXiv preprint <arXiv:2203.13293>.

Version:	1.0.1
Depends:	R (≥ 3.5)
Imports:	HDMT, locfdr, qqman, qvalue, fdrtool
Suggests:	knitr, rmarkdown
Published:	2022-10-05
Author:	Jiacong Du [aut], Michael Kleinsasser [cre]
Maintainer:	Michael Kleinsasser <mkleinsa at umich.edu>
BugReports:	https://github.com/umich-cphds/medScan/issues
License:	GPL-3
URL:	https://github.com/umich-cphds/medScan
NeedsCompilation:	no
Materials:	README
CRAN checks:	medScan results

Documentation:

Reference manual:

medScan.pdf

Downloads:

Package source:	medScan_1.0.1.tar.gz
Windows binaries:	r-devel: medScan_1.0.1.zip, r-release: medScan_1.0.1.zip, r-oldrel: medScan_1.0.1.zip
macOS binaries:	r-release (arm64): medScan_1.0.1.tgz, r-oldrel (arm64): medScan_1.0.1.tgz, r-release (x86_64): medScan_1.0.1.tgz, r-oldrel (x86_64): medScan_1.0.1.tgz

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