check_prior  R Documentation 
Performs a simple test to check whether the prior is informative to the posterior. This idea, and the accompanying heuristics, were discussed in Gelman et al. 2017.
check_prior(model, method = "gelman", simulate_priors = TRUE, ...)
model 
A 
method 
Can be 
simulate_priors 
Should prior distributions be simulated using

... 
Currently not used. 
A data frame with two columns: The parameter names and the quality
of the prior (which might be "informative"
, "uninformative"
)
or "not determinable"
if the prior distribution could not be
determined).
Gelman, A., Simpson, D., and Betancourt, M. (2017). The Prior Can Often Only Be Understood in the Context of the Likelihood. Entropy, 19(10), 555. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.3390/e19100555")}
library(bayestestR)
model < rstanarm::stan_glm(mpg ~ wt + am, data = mtcars, chains = 1, refresh = 0)
check_prior(model, method = "gelman")
check_prior(model, method = "lakeland")
# An extreme example where both methods diverge:
model < rstanarm::stan_glm(mpg ~ wt,
data = mtcars[1:3, ],
prior = normal(3.3, 1, FALSE),
prior_intercept = normal(0, 1000, FALSE),
refresh = 0
)
check_prior(model, method = "gelman")
check_prior(model, method = "lakeland")
# can provide visual confirmation to the Lakeland method
plot(si(model, verbose = FALSE))
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