Package: BayesCACE
Type: Package
Title: Bayesian Model for CACE Analysis
Version: 1.2.3
Date: 2022-10-1
Authors@R: 
    c(person(given = "Jinhui",
             family = "Yang",
             role = c("aut", "cre"),
             email = "james.yangjinhui@gmail.com",
             comment = c(ORCID = "0000-0001-8322-1121")),
      person(given = "Jincheng",
             family = "Zhou",
             role = "aut",
             comment = c(ORCID = "0000-0003-2641-2495")),
      person(given = "James",
             family = "Hodges",
             role = "ctb"),
      person(given = "Haitao",
             family = "Chu",
             role = "ctb",
             comment = c(ORCID = "0000-0003-0932-598X"))
             )
Depends: R (>= 3.5.0), rjags (>= 4-6)
Imports: coda, Rdpack, grDevices, forestplot, metafor, lme4, methods
SystemRequirements: JAGS 4.x.y (http://mcmc-jags.sourceforge.net)
Description: Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028>, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) <doi:10.1080/01621459.2021.1900859>, with an application example on Epidural Analgesia.
License: GPL (>= 2)
NeedsCompilation: no
RoxygenNote: 7.1.2
RdMacros: Rdpack
Encoding: UTF-8
LazyData: true
Suggests: R.rsp
VignetteBuilder: R.rsp
Packaged: 2022-10-02 04:02:15 UTC; james
Author: Jinhui Yang [aut, cre] (<https://orcid.org/0000-0001-8322-1121>),
  Jincheng Zhou [aut] (<https://orcid.org/0000-0003-2641-2495>),
  James Hodges [ctb],
  Haitao Chu [ctb] (<https://orcid.org/0000-0003-0932-598X>)
Maintainer: Jinhui Yang <james.yangjinhui@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-02 15:00:02 UTC
Built: R 4.1.1; ; 2022-10-06 22:39:34 UTC; unix
