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#' @title Confidence Intervals for a
#' 'lav_betaselect'-Class Object
#'
#' @description Return the confidence
#' intervals of betas-select in the
#' output of [lav_betaselect()].
#'
#' @details
#' The type of
#' confidence intervals depends
#' on the call to [lav_betaselect()].
#' This function does not recompute
#' the confidence interval.
#'
#' @return
#' A two-column matrix of the confidence
#' intervals.
#'
#' @param object The output of [lav_betaselect()].
#'
#' @param parm
#' Ignored due to the complexity in the
#' naming. The confidence intervals
#' of all parameters are always
#' returned.
#'
#' @param level The level of confidence.
#' Ignored because the intervals should be
#' formed
#' when calling [lav_betaselect()].
#'
#' @param ... Optional arguments.
#' Ignored.
#'
#' @author Shu Fai Cheung <https://orcid.org/0000-0002-9871-9448>
#'
#' @seealso [lav_betaselect()]
#'
#' @examples
#'
#' library(lavaan)
#' mod <-
#' "
#' med ~ iv + mod + iv:mod
#' dv ~ med + iv
#' "
#' fit <- sem(mod,
#' data_test_medmod,
#' fixed.x = TRUE)
#' summary(fit)
#' fit_beta <- lav_betaselect(fit,
#' to_standardize = c("iv", "dv"))
#' confint(fit_beta)
#'
#' @export
confint.lav_betaselect <- function(object,
parm,
level = .95,
...) {
pnames <- lavaan::lav_partable_labels(object)
out <- matrix(NA, nrow = length(pnames), ncol = 2)
rownames(out) <- pnames
if (isFALSE("std.p.ci.lower" %in% colnames(object))) {
return(out)
}
out[, 1] <- object$std.p.ci.lower
out[, 2] <- object$std.p.ci.upper
level <- attr(object, "level")
# Borrowed from stats::confint()
probs <- c((1 - level) / 2, 1 - (1 - level) / 2)
cnames <- paste(format(100 * probs,
trim = TRUE,
scientific = FALSE,
digits = 2), "%")
colnames(out) <- cnames
out
}
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