Package: medScan
Title: Large Scale Single Mediator Hypothesis Testing
Version: 1.0.1
URL: https://github.com/umich-cphds/medScan
BugReports: https://github.com/umich-cphds/medScan/issues
Authors@R: c(
    person("Jiacong","Du",role=c("aut"), email="jiacong@umich.edu"),
    person("Michael","Kleinsasser",role=c("cre"),email="mkleinsa@umich.edu")
  )
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.1
biocViews:
Imports: HDMT, locfdr, qqman, qvalue, fdrtool
Depends: R (>= 3.5),
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-10-04 13:18:30 UTC; mk
Author: Jiacong Du [aut],
  Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>
Repository: CRAN
Date/Publication: 2022-10-05 17:00:02 UTC
Built: R 4.2.0; ; 2022-10-06 11:59:04 UTC; unix
