Bayesian Summary Data Models for Mendelian Randomization Studies

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Documentation for package ‘mrbayes’ version 0.5.1

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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.