RsqMed: Total Mediation Effect Size Measure for High-Dimensional Mediators

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 models. It gives an option to filter out non-mediators using variable selection methods. The original R package is directly related to the paper Yang et al (2021) "Estimation of mediation effect for high-dimensional omics mediators with application to the Framingham Heart Study" <doi:10.1101/774877>. The new version contains a choice of using cross-fitting, which is computationally faster. The details of the cross-fitting method are available in the paper Xu et al (2023) "Speeding up interval estimation for R2-based mediation effect of high-dimensional mediators via cross-fitting" <doi:10.1101/2023.02.06.527391>.

Version: 1.1
Depends: R (≥ 3.5.0)
Imports: SIS (≥ 0.8), GMMAT (≥ 1.4.1)
Published: 2023-11-14
DOI: 10.32614/CRAN.package.RsqMed
Author: Tianzhong Yang [aut, cre], Chunlin Li [aut], Zhichao Xu [ctb]
Maintainer: Tianzhong Yang <yang3704 at>
License: GPL-3
NeedsCompilation: no
CRAN checks: RsqMed results


Reference manual: RsqMed.pdf


Package source: RsqMed_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): RsqMed_1.1.tgz, r-oldrel (arm64): RsqMed_1.1.tgz, r-release (x86_64): RsqMed_1.1.tgz, r-oldrel (x86_64): RsqMed_1.1.tgz
Old sources: RsqMed archive


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