# Bayesian Summary Data Models for Mendelian Randomization Studies

## Documentation for package ‘mrbayes’ version 0.3.0

- DESCRIPTION file.

## Help Pages

mrbayes-package | mrbayes: Bayesian implementation of the IVW and MR-Egger models for two-sample Mendelian randomization analyses
bmi_insulin | Dataset from Richmond et. al 2017 investigating the association of BMI on insulin resistance
dodata | Dataset from Do et al., Nat Gen, 2013 containing summary level data on associations of genotypes with lipid traits and the risk of coronary heart diseases
mrbayes | mrbayes: Bayesian implementation of the IVW and MR-Egger models for two-sample Mendelian randomization analyses
mrinput_mr_format | Convert an object of class MRInput from the MendelianRandomization package to the mrbayes mr_format class
mr_egger_rjags | Bayesian implementation of the MR-Egger multivariate model with choice of prior distributions fitted using JAGS.
mr_egger_stan | Bayesian inverse variance weighted model with a choice of prior distributions fitted using Stan
mr_format | Organises the summary level data for use in the Bayesian MR functions
mr_ivw_rjags | Bayesian inverse variance weighted model with a choice of prior distributions fitted using JAGS.
mr_ivw_stan | Bayesian inverse variance weighted model with a choice of prior distributions fitted using RStan.
mr_radialegger_rjags | Bayesian radial MR-Egger model with a choice of prior distributions fitted using JAGS.
mr_radialegger_stan | Bayesian inverse variance weighted model with a choice of prior distributions fitted using RStan.
mvmr_egger_rjags | Bayesian implementation of the MVMR-Egger model with choice of prior distributions fitted using JAGS.
mvmr_egger_stan | Bayesian implementation of the MVMR-Egger model with choice of prior distributions fitted using RStan.
mvmr_format | Organises the summary level data for use in the Bayesian MR functions
mvmr_ivw_rjags | Bayesian multivariate inverse variance weighted model with a choice of prior distributions fitted using JAGS.
mvmr_ivw_stan | Bayesian multivariate inverse variance weighted model with a choice of prior distributions fitted using RStan.