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#' @export
model_parameters.bayesQR <- function(model,
centrality = "median",
dispersion = FALSE,
ci = 0.95,
ci_method = "eti",
test = "pd",
rope_range = "default",
rope_ci = 0.95,
bf_prior = NULL,
diagnostic = c("ESS", "Rhat"),
priors = TRUE,
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
# Processing
params <- .extract_parameters_bayesian(
model,
centrality = centrality,
dispersion = dispersion,
ci = ci,
ci_method = ci_method,
test = test,
rope_range = rope_range,
rope_ci = rope_ci,
bf_prior = bf_prior,
diagnostic = diagnostic,
priors = priors,
keep_parameters = keep,
drop_parameters = drop,
verbose = verbose,
...
)
attr(params, "ci") <- ci
attr(params, "object_name") <- insight::safe_deparse_symbol(substitute(model))
class(params) <- c("parameters_model", "see_parameters_model", class(params))
params
}
#' @export
p_value.bayesQR <- p_value.BFBayesFactor
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