Package: hdbma
Type: Package
Title: Bayesian Mediation Analysis with High-Dimensional Data
Version: 1.0
Date: 2023-12-16
Authors@R: c(person("Qingzhao Yu", role = c("aut", "cre","cph"),
                     email = "qyu@lsuhsc.edu"),
                    person("Bin Li", role = "aut") )
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>
Depends: R (>= 2.14.1), R2jags,gplots,MASS,survival,splines
Imports: lattice, methods
Encoding: UTF-8
Description: Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.
License: GPL (>= 2)
URL: https://www.r-project.org,
        https://publichealth.lsuhsc.edu/Faculty_pages/qyu/index.html
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-12-15 01:53:30 UTC; qyu
Author: Qingzhao Yu [aut, cre, cph],
  Bin Li [aut]
Repository: CRAN
Date/Publication: 2023-12-15 12:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 03:51:32 UTC; unix
