Package: multibiasmeta
Type: Package
Title: Sensitivity Analysis for Multiple Biases in Meta-Analyses
Description: Meta-analyses can be compromised by studies' internal biases (e.g.,
  confounding in nonrandomized studies) as well as by publication bias. This
  package conducts sensitivity analyses for the joint effects of these biases
  (per Mathur (2022) <doi:10.31219/osf.io/u7vcb>). These sensitivity analyses 
  address two questions: (1) For a given severity of internal bias across
  studies and of publication bias, how much could the results change?; and
  (2) For a given severity of publication bias, how severe would internal bias
  have to be, hypothetically, to attenuate the results to the null or by a given
  amount?
Version: 0.2.2
Authors@R: c(
  person("Maya", "Mathur", email = "mmathur@stanford.edu", role = c("aut")),
  person("Mika", "Braginsky", email = "mika.br@gmail.com", role = c("aut")),
  person("Peter", "Solymos", email = "peter@analythium.io", role = c("cre", "ctb"), comment = c(ORCID = "0000-0001-7337-1740"))
  )
License: MIT + file LICENSE
URL: https://github.com/mathurlabstanford/multibiasmeta,
        https://mathurlabstanford.github.io/multibiasmeta/
BugReports: https://github.com/mathurlabstanford/multibiasmeta/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr, EValue, metabias, metafor, purrr, Rdpack, rlang,
        robumeta
RoxygenNote: 7.2.3
RdMacros: Rdpack
Suggests: glue, knitr, phacking, PublicationBias (>= 2.3.0), rmarkdown,
        testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-08-21 16:57:50 UTC; root
Author: Maya Mathur [aut],
  Mika Braginsky [aut],
  Peter Solymos [cre, ctb] (<https://orcid.org/0000-0001-7337-1740>)
Maintainer: Peter Solymos <peter@analythium.io>
Repository: CRAN
Date/Publication: 2023-08-23 13:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 02:23:37 UTC; unix
