Package: BayesGmed
Title: Bayesian Causal Mediation Analysis using 'Stan'
Version: 0.0.4
Authors@R: 
    c(person(given = "Belay Birlie", 
           family = "Yimer", 
           role = c("aut", "cre"),
           email = "belayabyimer@gmail.com",
           comment = c(ORCID = "0000-0001-8621-6539")),
    person(given = "Mark",
           family = "Lunt",
           role = c("aut")),
    person(given = "Marcus",
           family = "Beasley",
           role = c("aut")), 
    person(given = " Gary J ",
           family = "Macfarlane",
           role = c("aut")), 
    person(given = "John",
           family = "McBeth",
           role = c("aut")))                     
Description: Performs parametric mediation analysis using the Bayesian
        g-formula approach for binary and continuous outcomes. The
        methodology is based on Comment (2018)
        <doi:10.5281/zenodo.1285275> and a demonstration of its
        application can be found at Yimer et al. (2022)
        <doi:10.48550/arXiv.2210.08499>.
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>=
        2.18.1), rstantools (>= 2.1.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
License: MIT + file LICENSE
Config/pak/sysreqs: cmake make
Repository: https://belayb.r-universe.dev
Date/Publication: 2024-04-08 10:17:55 UTC
RemoteUrl: https://github.com/belayb/bayesgmed
RemoteRef: HEAD
RemoteSha: 55048667365b0ff2798e30bec8e9194f60e40ead
NeedsCompilation: yes
Packaged: 2026-10-07 12:00:36 UTC; root
Author: Belay Birlie Yimer [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8621-6539>),
  Mark Lunt [aut],
  Marcus Beasley [aut],
  Gary J Macfarlane [aut],
  John McBeth [aut]
Maintainer: Belay Birlie Yimer <belayabyimer@gmail.com>