The resolved prior objects used to fit the model.
Usage
# S3 method for class 'kb_fit'
prior_summary(object, ...)Value
The named list of prior objects (see kb_priors_weight_nereo()).
See also
Other generics:
augment.kb_fit(),
coef.kb_fit(),
converged.kb_fit(),
fitted.kb_fit_weight(),
glance.kb_fit(),
kb_stancode(),
log_lik.kb_fit(),
posterior_epred.kb_fit_weight(),
posterior_linpred.kb_fit_weight(),
posterior_predict.kb_fit_weight(),
predict.kb_fit_weight(),
residuals.kb_fit_weight(),
samples(),
summary.kb_fit(),
tidy.kb_fit_weight()
Examples
prior_summary(fit_weight_sim_nereo)
#> $intercept
#> normal(mean = 0, sd = 2)
#>
#> $diameter
#> normal(mean = 2, sd = 1)
#>
#> $diameter2
#> normal(mean = 0, sd = 0.5)
#>
#> $sd_site
#> exponential(rate = 1)
#>
#> $sd_site_diameter
#> exponential(rate = 1)
#>
#> $sd_site_year
#> exponential(rate = 1)
#>
#> $sd_residual
#> exponential(rate = 1)
#>