RsqMed: Total Mediation Effect Size Measure (R-Squared Measure) under Moderate or High-Dimensional Mediator Settings

An implementation of calculating the R-squared measure as a total mediation effect size measure and its confidence interval for moderate- or high-dimensional mediator model. It gives an option to filter out non-mediators using variable selection method. This R package is directly related to the paper "Estimation of mediation effect for high-dimensional omics mediators with application to the Framingham Heart Study" with <doi:10.1101/774877>.

Version: 0.1.7.1
Depends: R (≥ 3.5.0)
Imports: SIS (≥ 0.8), GMMAT (≥ 1.1.0)
Suggests: MASS, stats, knitr
Published: 2020-02-02
Author: Tianzhong Yang [aut, cre]
Maintainer: Tianzhong Yang <yang3704 at umn.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: RsqMed results

Downloads:

Reference manual: RsqMed.pdf
Package source: RsqMed_0.1.7.1.tar.gz
Windows binaries: r-devel: RsqMed_0.1.7.1.zip, r-devel-gcc8: RsqMed_0.1.7.1.zip, r-release: RsqMed_0.1.7.1.zip, r-oldrel: RsqMed_0.1.7.1.zip
OS X binaries: r-release: not available, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RsqMed to link to this page.