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#' @export
model_parameters.glmm <- function(model,
ci = 0.95,
effects = c("all", "fixed", "random"),
bootstrap = FALSE,
iterations = 1000,
standardize = NULL,
exponentiate = FALSE,
keep = NULL,
drop = NULL,
verbose = TRUE,
...) {
effects <- match.arg(effects)
out <- .model_parameters_generic(
model = model,
ci = ci,
bootstrap = bootstrap,
iterations = iterations,
merge_by = c("Parameter", "Effects"),
standardize = standardize,
exponentiate = exponentiate,
keep_parameters = keep,
drop_parameters = drop,
effects = effects,
...
)
attr(out, "object_name") <- insight::safe_deparse_symbol(substitute(model))
out
}
#' @export
ci.glmm <- function(x, ci = 0.95, effects = c("all", "fixed", "random"), ...) {
effects <- match.arg(effects)
.ci_generic(model = x, ci = ci, dof = Inf, effects = effects, ...)
}
#' @export
standard_error.glmm <- function(model, effects = c("all", "fixed", "random"), ...) {
effects <- match.arg(effects)
out <- insight::get_parameters(model, effects = "all")
out$SE <- sqrt(diag(insight::get_varcov(model, effects = "all")))
out <- out[, c("Parameter", "SE", "Effects")]
if (effects != "all") {
out <- out[out$Effects == effects, , drop = FALSE]
out$Effects <- NULL
}
out
}
#' @export
p_value.glmm <- function(model, effects = c("all", "fixed", "random"), ...) {
effects <- match.arg(effects)
s <- summary(model)
out <- insight::get_parameters(model, effects = "all")
out$p <- c(s$coefmat[, 4], s$nucoefmat[, 4])
out <- out[, c("Parameter", "p", "Effects")]
if (effects != "all") {
out <- out[out$Effects == effects, , drop = FALSE]
out$Effects <- NULL
}
out
}
#' @export
format_parameters.glmm <- function(model, brackets = c("[", "]"), ...) {
.format_parameter_default(model, effects = "all", brackets = brackets)
}
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