describe_prior {bayestestR} | R Documentation |
Returns a summary of the priors used in the model.
describe_prior(model, ...) ## S3 method for class 'brmsfit' describe_prior( model, effects = c("fixed", "random", "all"), component = c("conditional", "zi", "zero_inflated", "all", "location", "distributional", "auxiliary"), parameters = NULL, ... )
model |
A Bayesian model. |
... |
Currently not used. |
effects |
Should results for fixed effects, random effects or both be returned? Only applies to mixed models. May be abbreviated. |
component |
Should results for all parameters, parameters for the conditional model or the zero-inflated part of the model be returned? May be abbreviated. Only applies to brms-models. |
parameters |
Regular expression pattern that describes the parameters
that should be returned. Meta-parameters (like |
## Not run: library(bayestestR) # rstanarm models # ----------------------------------------------- if (require("rstanarm")) { model <- rstanarm::stan_glm(mpg ~ wt + cyl, data = mtcars) describe_prior(model) } # brms models # ----------------------------------------------- if (require("brms")) { model <- brms::brm(mpg ~ wt + cyl, data = mtcars) describe_prior(model) } # BayesFactor objects # ----------------------------------------------- if (require("BayesFactor")) { bf <- ttestBF(x = rnorm(100, 1, 1)) describe_prior(bf) } ## End(Not run)