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#' @rdname model_parameters.averaging
#' @export
model_parameters.betareg <- function(model,
ci = .95,
bootstrap = FALSE,
iterations = 1000,
component = c("conditional", "precision", "all"),
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
verbose = TRUE,
...) {
component <- match.arg(component)
if (component == "all") {
merge_by <- c("Parameter", "Component")
} else {
merge_by <- "Parameter"
}
## TODO check merge by
out <- .model_parameters_generic(
model = model,
ci = ci,
component = component,
bootstrap = bootstrap,
iterations = iterations,
merge_by = c("Parameter", "Component"),
standardize = standardize,
exponentiate = exponentiate,
p_adjust = p_adjust,
...
)
attr(out, "object_name") <- deparse(substitute(model), width.cutoff = 500)
out
}
#' @rdname ci.merMod
#' @export
ci.betareg <- function(x, ci = .95, component = c("all", "conditional", "precision"), ...) {
component <- match.arg(component)
ci_wald(model = x, ci = ci, dof = Inf, component = component)
}
#' @rdname standard_error
#' @export
standard_error.betareg <- function(model, component = c("all", "conditional", "precision"), ...) {
component <- match.arg(component)
params <- insight::get_parameters(model)
cs <- do.call(rbind, stats::coef(summary(model)))
se <- cs[, 2]
out <- .data_frame(
Parameter = .remove_backticks_from_string(names(se)),
Component = params$Component,
SE = as.vector(se)
)
if (component != "all") {
out <- out[out$Component == component, ]
}
out
}
#' @rdname p_value.DirichletRegModel
#' @export
p_value.betareg <- function(model, component = c("all", "conditional", "precision"), ...) {
component <- match.arg(component)
params <- insight::get_parameters(model)
cs <- do.call(rbind, stats::coef(summary(model)))
p <- cs[, 4]
out <- .data_frame(
Parameter = params$Parameter,
Component = params$Component,
p = as.vector(p)
)
if (component != "all") {
out <- out[out$Component == component, ]
}
out
}
#' @export
simulate_model.betareg <- function(model, iterations = 1000, component = c("all", "conditional", "precision"), ...) {
component <- match.arg(component)
out <- .simulate_model(model, iterations, component = component)
class(out) <- c("parameters_simulate_model", class(out))
attr(out, "object_name") <- .safe_deparse(substitute(model))
out
}
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