Package: hdbm
Title: High Dimensional Bayesian Mediation Analysis
Version: 0.9.0
Authors@R: 
    c(person(given = "Alexander",
           family = "Rix",
           role = c("aut", "cre"),
           email = "alexrix@umich.edu"),
      person(given = "Yanyi",
           family = "Song",
           role = c("aut"),
           email = "yanys@umich.edu"))
Description: Perform mediation analysis in the presence of high-dimensional
    mediators based on the potential outcome framework. High dimensional
    Bayesian mediation (HDBM), developed by Song et al (2018)
    <doi:10.1101/467399>, relies on two Bayesian sparse linear mixed models to
    simultaneously analyze a relatively large number of mediators for a
    continuous exposure and outcome assuming a small number of mediators are
    truly active. This sparsity assumption also allows the extension of
    univariate mediator analysis by casting the identification of active
    mediators as a variable selection problem and applying Bayesian methods
    with continuous shrinkage priors on the effects.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-08-28 12:57:36 UTC; alexrix
Author: Alexander Rix [aut, cre],
  Yanyi Song [aut]
Maintainer: Alexander Rix <alexrix@umich.edu>
Repository: CRAN
Date/Publication: 2019-08-28 14:20:03 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:14:32 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
