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) ). 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 Roxygen: list(markdown = TRUE) VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev Repository: https://mathurlabstanford.r-universe.dev Date/Publication: 2023-08-21 16:56:10 UTC RemoteUrl: https://github.com/mathurlabstanford/multibiasmeta RemoteRef: HEAD RemoteSha: 64e328a7fac0a6ff4f60efa43cecc15f52e7d40a NeedsCompilation: no Packaged: 2026-07-02 08:53:32 UTC; root Author: Maya Mathur [aut], Mika Braginsky [aut], Peter Solymos [cre, ctb] (ORCID: ) Maintainer: Peter Solymos