Package: metaBMA
Type: Package
Date: 2019-09-01
Title: Bayesian Model Averaging for Random and Fixed Effects
        Meta-Analysis
Version: 0.6.2
Authors@R: c(person("Daniel W.", "Heck", email="heck@uni-mannheim.de", role=c("aut","cre"),
                    comment = c(ORCID = "0000-0002-6302-9252")),
             person("Quentin F.", "Gronau", email="quentingronau@web.de", role = c("ctb")))
Maintainer: Daniel W. Heck <heck@uni-mannheim.de>
Description: Computes the posterior model probabilities for standard meta-analysis models 
    (null model vs. alternative model assuming either fixed- or random-effects, respectively).
    These posterior probabilities are used to estimate the overall mean effect size 
    as the weighted average of the mean effect size estimates of the random- and 
    fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, & 
    Wagenmakers (2017, <doi:10.1080/23743603.2017.1326760>). The user can define 
    a wide range of non-informative or informative priors for the mean effect size 
    and the heterogeneity coefficient. Moreover, using pre-compiled Stan models, 
    meta-analysis with continuous and discrete moderators with Jeffreys-Zellner-Siow (JZS) 
    priors can be fitted and tested. This allows to compute Bayes factors and 
    perform Bayesian model averaging across random- and fixed-effects meta-analysis 
    with and without moderators.
Depends: R (>= 3.4.0), Rcpp (>= 1.0.0), methods
Imports: mvtnorm, logspline, coda, LaplacesDemon, rstan (>= 2.18.1),
        rstantools (>= 1.5.1), bridgesampling
Suggests: testthat, knitr
LinkingTo: BH (>= 1.69.0-1), Rcpp (>= 1.0.0), RcppEigen (>= 0.3.3.5.0),
        rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder: knitr
URL: https://github.com/danheck/metaBMA
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 6.1.1
Packaged: 2019-09-16 13:53:49 UTC; Daniel
Author: Daniel W. Heck [aut, cre] (<https://orcid.org/0000-0002-6302-9252>),
  Quentin F. Gronau [ctb]
Repository: CRAN
Date/Publication: 2019-09-16 15:40:05 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 09:07:51 UTC; windows
Archs: i386, x64
