mrbayes: Bayesian Summary Data Models for Mendelian Randomization Studies

Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.

Version: 0.2.0
Depends: R (≥ 3.5.0)
Imports: methods, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat, rjags (≥ 4-9), tidyverse, knitr, ggplot2, ggmcmc, foreign, DescTools, bayesmeta, utils, kableExtra, roxygen2, bookdown
Published: 2020-05-28
Author: Okezie Uche-Ikonne ORCID iD [aut, cre], Frank Dondelinger ORCID iD [aut], Tom Palmer ORCID iD [aut]
Maintainer: Okezie Uche-Ikonne <o.uche-ikonne at>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: mrbayes results


Reference manual: mrbayes.pdf
Package source: mrbayes_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: mrbayes_0.2.0.tgz, r-oldrel: mrbayes_0.2.0.tgz
Old sources: mrbayes archive


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