Total Mediation Effect Size Measure for High-Dimensional Mediators R package RsqMed version 1.1 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>. Software Depends: R (>= 3.5.0) Imports: SIS (>= 0.8), GMMAT (>= 1.4.1) Tianzhong Yang <yang3704@umn.edu> Comprehensive R Archive Network (CRAN) Tianzhong Yang [aut, cre], Chunlin Li [aut], Zhichao Xu [ctb] GPL-3 2023-11-14 application/tgz https://CRAN.R-project.org/package=RsqMed doi:10.32614/CRAN.package.RsqMed