example_jags_model.RdThis is an example JAGS model to use for examples in the `mmcc` package. The model is fit as a basic linear regression, with uniform priors on beta0 and beta1, where y is assumed to be normal, with mean mu and precision tau. The model is drawn from the vignette, "Model summaries for a Bayesian linear regression", and the code to generate it can be found in the `data-raw` folder.
data(example_jags_model)
An object of class jags of length 8.
glance(example_jags_model)#> Error: No glance method for objects of class jags