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#' @rdname get_predict
#' @export
get_predict.rq <- function(
model,
newdata = insight::get_data(model),
type = NULL,
...) {
# type argument of the method is used to specify confidence interval type
insight::check_if_installed("quantreg")
MM <- attr(newdata, "marginaleffects_model_matrix")
if (isTRUE(checkmate::check_matrix(MM))) {
beta <- get_coef(model)
out <- drop(MM %*% beta)
if (isTRUE(checkmate::check_numeric(out, len = nrow(newdata)))) {
out <- data.table(estimate = out)
} else {
out <- data.table(estimate = out)
}
} else {
out <- quantreg::predict.rq(model, newdata = newdata, ...)
out <- data.table(estimate = out)
}
out <- add_rowid(out, newdata)
return(out)
}
#' @include sanity_model.R
#' @rdname sanitize_model_specific
#' @keywords internal
sanitize_model_specific.rqs <- function(model, ...) {
stop(
"`marginaleffects` only supports `quantreg::rq` models with a single `tau` value.",
call. = FALSE
)
}
# #' @rdname get_model_matrix
# #' @keywords internal
# #' @export
# get_model_matrix.rq <- function(object, newdata) {
# tt <- stats::terms(object)
# Terms <- delete.response(tt)
# m <- model.frame(Terms, newdata, na.action = na.pass, xlev = object$xlevels)
# if (!is.null(cl <- attr(Terms, "dataClasses")))
# stats::.checkMFClasses(cl, m)
# X <- model.matrix(Terms, m, contrasts.arg = object$contrasts)
# if (!isTRUE(nrow(X) == nrow(newdata))) {
# return(NULL)
# } else {
# return(X)
# }
# }
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