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## TODO add ci_method later?
#' @export
model_parameters.betareg <- function(model,
ci = 0.95,
bootstrap = FALSE,
iterations = 1000,
component = "conditional",
standardize = NULL,
exponentiate = FALSE,
p_adjust = NULL,
include_info = getOption("parameters_info", FALSE),
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
# validation check, warn if unsupported argument is used.
dot_args <- .check_dots(
dots = list(...),
not_allowed = c("vcov", "vcov_args"),
class(model)[1],
verbose = verbose
)
component <- insight::validate_argument(component, c("conditional", "precision", "all"))
if (component == "all") {
merge_by <- c("Parameter", "Component")
} else {
merge_by <- "Parameter"
}
## TODO check merge by
fun_args <- list(
model,
ci = ci,
component = component,
bootstrap = bootstrap,
iterations = iterations,
merge_by = c("Parameter", "Component"),
standardize = standardize,
exponentiate = exponentiate,
p_adjust = p_adjust,
keep_parameters = keep,
drop_parameters = drop,
include_info = include_info,
vcov = NULL,
vcov_args = NULL
)
fun_args <- c(fun_args, dot_args)
out <- do.call(".model_parameters_generic", fun_args)
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @export
ci.betareg <- function(x, ci = 0.95, component = "all", verbose = TRUE, ...) {
# validation check, warn if unsupported argument is used.
dot_args <- .check_dots(
dots = list(...),
not_allowed = c("vcov", "vcov_args"),
class(x)[1],
function_name = "ci",
verbose = verbose
)
component <- match.arg(component, choices = c("all", "conditional", "precision"))
.ci_generic(model = x, ci = ci, dof = Inf, component = component, verbose = verbose)
}
#' @export
standard_error.betareg <- function(model, component = "all", verbose = TRUE, ...) {
# validation check, warn if unsupported argument is used.
dot_args <- .check_dots(
dots = list(...),
not_allowed = c("vcov", "vcov_args"),
class(model)[1],
function_name = "standard_error",
verbose = verbose
)
component <- match.arg(component, choices = c("all", "conditional", "precision"))
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
}
#' @export
p_value.betareg <- function(model, component = "all", verbose = TRUE, ...) {
# validation check, warn if unsupported argument is used.
dot_args <- .check_dots(
dots = list(...),
not_allowed = c("vcov", "vcov_args"),
class(model)[1],
function_name = "p_value",
verbose = verbose
)
component <- insight::validate_argument(
component,
c("all", "conditional", "precision")
)
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 = "all", ...) {
component <- insight::validate_argument(
component,
c("all", "conditional", "precision")
)
out <- .simulate_model(model, iterations, component = component, ...)
class(out) <- c("parameters_simulate_model", class(out))
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
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