model_to_priors: Convert model's posteriors to priors (EXPERIMENTAL)

In bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Convert model's posteriors to priors (EXPERIMENTAL)

Description

Convert model's posteriors to (normal) priors.

Usage

model_to_priors(model, scale_multiply = 3, ...)

Arguments

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 insight::get_prior() or describe_posterior.

Examples

# 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)
}

bayestestR documentation built on Oct. 17, 2024, 5:07 p.m.