Bayesian model averaging for IVW and MR-Egger

Uses Bayesian Model Averaging to infer the posterior probability that the IVW or MR-Egger regression models (with or without heterogeneity) is the true data generating model. 

Requires the specification of priors for the regression model parameters and/or the probability that each model is `true’. 

References

• Thompson JR MC, Bowden J, Del Greco FM, Gill D, Jones EM, Shapland CY, Sheehan NA. Mendelian randomization incorporating uncertainty about pleiotropy. Stat Med 2017;36:4627-4645.

Other terms in 'Model selection and averaging approaches for two-sample MR':

• MR-MoE
• Rucker framework for IVW and MR-Egger
• Steiger filtering