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#' @export
standard_error.geeglm <- standard_error.default
#' @export
standard_error.gee <- function(model, method = NULL, ...) {
cs <- stats::coef(summary(model))
if (isTRUE(list(...)$robust) || "vcov" %in% names(list(...))) {
se <- as.vector(cs[, "Robust S.E."])
} else {
se <- as.vector(cs[, "Naive S.E."])
}
.data_frame(Parameter = .remove_backticks_from_string(rownames(cs)), SE = se)
}
#' @export
p_value.gee <- function(model, method = NULL, ...) {
cs <- stats::coef(summary(model))
if (is.null(method)) {
method <- "any"
}
if (isTRUE(list(...)$robust) || "vcov" %in% names(list(...))) {
p <- 2 * stats::pt(
abs(cs[, "Estimate"] / cs[, "Robust S.E."]),
df = insight::get_df(x = model, type = method),
lower.tail = FALSE
)
} else {
p <- 2 * stats::pt(
abs(cs[, "Estimate"] / cs[, "Naive S.E."]),
df = insight::get_df(x = model, type = method),
lower.tail = FALSE
)
}
.data_frame(
Parameter = .remove_backticks_from_string(rownames(cs)),
p = as.vector(p)
)
}
#' @export
ci.geeglm <- function(x, ci = 0.95, method = "wald", ...) {
.ci_generic(x, ci = ci, method = method, ...)
}
#' @export
p_value.geeglm <- function(model, method = "wald", ...) {
stat <- insight::get_statistic(model)
if (!is.null(stat)) {
if (identical(method, "residual")) {
dof <- insight::get_df(model, type = "residual")
p <- as.vector(2 * stats::pt(
sqrt(abs(stat$Statistic)),
df = dof,
lower.tail = FALSE
))
} else {
p <- as.vector(1 - stats::pchisq(stat$Statistic, df = 1))
}
.data_frame(
Parameter = stat$Parameter,
p = p
)
}
}
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