Package: bama
Title: High Dimensional Bayesian Mediation Analysis
Version: 0.9.1
URL: https://github.com/umich-cphds/bama
BugReports: https://github.com/umich-cphds/bama/issues
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. Bayesian Mediation
    Analysis (BAMA), 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: 2019-09-19 13:31:02 UTC; alexrix
Author: Alexander Rix [aut, cre],
  Yanyi Song [aut]
Maintainer: Alexander Rix <alexrix@umich.edu>
Repository: CRAN
Date/Publication: 2019-09-30 11:30:05 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:19:49 UTC; windows
Archs: i386, x64
