model_to_priors {bayestestR} | R Documentation |
Convert model's posteriors to (normal) priors.
model_to_priors(model, scale_multiply = 3, ...)
model |
A Bayesian model. |
scale_multiply |
The SD of the posterior will be multiplied by this amount before being set as a prior to avoid overly narrow priors. |
... |
Other arguments for |
## Not run: # brms models # ----------------------------------------------- if (require("brms")) { formula <- brms::brmsformula(mpg ~ wt + cyl, center = FALSE) model <- brms::brm(formula, data = mtcars, refresh = 0) priors <- model_to_priors(model) priors <- brms::validate_prior(priors, formula, data = mtcars) priors model2 <- brms::brm(formula, data = mtcars, prior = priors, refresh = 0) } ## End(Not run)