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: 0.1.0
Depends: R (≥ 3.5.0)
Imports: methods
Suggests: testthat, rjags (≥ 4-9), tidyverse, knitr, ggplot2, ggmcmc, foreign, DescTools, bayesmeta, utils, kableExtra, roxygen2, bookdown
Published: 2019-09-04
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 lancaster.ac.uk>
BugReports: https://github.com/okezie94/mrbayes/issues
License: GPL-3
URL: https://github.com/okezie94/mrbayes
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y
Materials: README
CRAN checks: mrbayes results

Downloads:

Reference manual: mrbayes.pdf
Package source: mrbayes_0.1.0.tar.gz
Windows binaries: r-prerelease: mrbayes_0.1.0.zip, r-release: mrbayes_0.1.0.zip, r-oldrel: mrbayes_0.1.0.zip
macOS binaries: r-prerelease: mrbayes_0.1.0.tgz, r-release: mrbayes_0.1.0.tgz, r-oldrel: mrbayes_0.1.0.tgz

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