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. The original 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>. The new version contains a choice of using cross-fitting, which is computationally faster.

Depends: R (≥ 3.5.0)
Imports: SIS (≥ 0.8), GMMAT (≥ 1.1.0)
Published: 2022-11-07
Author: Tianzhong Yang [aut, cre]
Maintainer: Tianzhong Yang <yang3704 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: RsqMed results


Reference manual: RsqMed.pdf


Package source: RsqMed_0.2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): RsqMed_0.2.1.0.tgz, r-release (x86_64): RsqMed_0.2.1.0.tgz, r-oldrel (x86_64): RsqMed_0.2.1.0.tgz
Old sources: RsqMed archive


Please use the canonical form to link to this page.