Package: RsqMed
Title: Total Mediation Effect Size Measure for High-Dimensional
        Mediators
Version: 1.1
Authors@R: 
   c(
     person(given = "Tianzhong",
           family = "Yang",
           role = c("aut", "cre"),
           email = "yang3704@umn.edu"),
     person(given = "Chunlin",
	family = "Li",
	role = "aut",
	email = "chunlin@iastate.edu"),
     person(given = "Zhichao",
	family =  "Xu",
	role = "ctb",
	email = "ZXu7@mdanderson.org"))
Description: 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>.
License: GPL-3
Depends: R (>= 3.5.0)
Imports: SIS (>= 0.8), GMMAT (>= 1.4.1)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-09-24 08:29:18 UTC; root
Maintainer: Tianzhong Yang <yang3704@umn.edu>
Author: Tianzhong Yang [aut, cre], Chunlin Li [aut], Zhichao Xu [ctb]
Repository: https://ytzhong.r-universe.dev
Date/Publication: 2023-11-15 02:37:51 UTC
RemoteUrl: https://github.com/cran/RsqMed
RemoteRef: HEAD
RemoteSha: f59ed862c45af418df48f5792c01c4755d75e401