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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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.5) |
| Imports: | HDMT, locfdr, qqman, qvalue, fdrtool |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-03-06 |
| DOI: | 10.32614/CRAN.package.medScan |
| 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 |
| Reference manual: | medScan.pdf |
| Package source: | medScan_1.0.2.tar.gz |
| Windows binaries: | r-devel: medScan_1.0.2.zip, r-release: medScan_1.0.2.zip, r-oldrel: medScan_1.0.2.zip |
| macOS binaries: | r-release (arm64): medScan_1.0.2.tgz, r-oldrel (arm64): medScan_1.0.2.tgz, r-release (x86_64): medScan_1.0.2.tgz, r-oldrel (x86_64): medScan_1.0.2.tgz |
| Old sources: | medScan archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.