ModelWeights: Posterior weights of all models in MCMC.
In gpapadog/BAC: Bayesian Adjustment for Confounding

Function that calculates and orders the models that were chosen in the MCMC at least once.

1	ModelWeights(bac, model = c("Outcome", "Exposure"))

`bac`	The BAC fit.
`model`	Options are 'Outcome' or 'Exposure'. Defines which model we want to look at.

gpapadog/BAC documentation built on Feb. 15, 2021, 6:37 a.m.

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