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 umn.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	RsqMed results

Documentation:

Reference manual:

RsqMed.pdf

Downloads:

Package source:	RsqMed_1.1.tar.gz
Windows binaries:	r-devel: RsqMed_1.1.zip, r-release: RsqMed_1.1.zip, r-oldrel: RsqMed_1.1.zip
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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