Package: publipha
Title: Bayesian Meta-Analysis with Publications Bias and P-Hacking
Version: 0.1.1
Authors@R: c(
    person("Jonas", "Moss", , "jonas.gjertsen@gmail.com", role = c("aut", "cre"), 
      comment = c(ORCID = "0000-0002-6876-6964")
    ),
    person("Trustees of Columbia University", role = "cph"))
Description: Tools for Bayesian estimation of meta-analysis models that account 
    for publications bias or p-hacking. For publication bias, this package 
    implements a variant of the p-value based selection model of Hedges (1992)
    <doi:10.1214/ss/1177011364> with discrete selection probabilities. It also 
    implements the mixture of truncated normals model for p-hacking described 
    in Moss and De Bin (2019) <arXiv:1911.12445>.
License: GPL-3
Depends: methods, R (>= 3.5.0), Rcpp (>= 0.12.19)
Imports: rstan (>= 2.18.1), rstantools (>= 1.5.1), loo, truncnorm
LinkingTo: BH (>= 1.72.0-2), Rcpp (>= 0.12.19), RcppEigen (>=
        0.3.3.4.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 7.0.2
Suggests: testthat (>= 2.1.0), covr, knitr, rmarkdown, metafor, qtl,
        spelling
Collate: 'data-anderson2010.R' 'data-baskerville2012.R'
        'data-cuddy2018.R' 'data-dang2018.R' 'data-motyl2017.R'
        'densities-helpers.R' 'densities-mpsnorm.R'
        'densities-phnorm.R' 'densities-psnorm.R' 'densities-snorm.R'
        'ma.R' 'generics.R' 'publipha-package.R' 'stanmodels.R'
        'tools.R' 'utility.R' 'zzz.R'
Language: en-US
Packaged: 2020-01-14 08:45:07 UTC; jonas
Author: Jonas Moss [aut, cre] (<https://orcid.org/0000-0002-6876-6964>),
  Trustees of Columbia University [cph]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-15 00:20:07 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-05-27 14:21:01 UTC; unix
Archs: publipha.so.dSYM
