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# NCP -------------------------
#' @keywords internal
#' @importFrom stats pf qf optim
.get_ncp_F <- function(f, df, df_error, conf.level = 0.9) {
if (!is.finite(f) || !is.finite(df) || !is.finite(df_error)) {
return(c(NA, NA))
}
alpha <- 1 - conf.level
probs <- c(alpha / 2, 1 - alpha / 2)
lambda <- f * df
ncp <- suppressWarnings(stats::optim(
par = 1.1 * rep(lambda, 2),
fn = function(x) {
p <- stats::pf(q = f, df, df_error, ncp = x)
abs(max(p) - probs[2]) +
abs(min(p) - probs[1])
},
control = list(abstol = 1e-09)
))
f_ncp <- sort(ncp$par)
if (f <= stats::qf(probs[1], df, df_error)) {
f_ncp[2] <- 0
}
if (f <= stats::qf(probs[2], df, df_error)) {
f_ncp[1] <- 0
}
return(f_ncp)
}
#' @keywords internal
#' @importFrom stats pt
#' @importFrom stats qt
#' @importFrom stats optim
.get_ncp_t <- function(t, df_error, conf.level = 0.95) {
# # Note: these aren't actually needed - all t related functions would fail earlier
# if (!is.finite(t) || !is.finite(df_error)) {
# return(c(NA, NA))
# }
alpha <- 1 - conf.level
probs <- c(alpha / 2, 1 - alpha / 2)
ncp <- suppressWarnings(optim(
par = 1.1 * rep(t, 2),
fn = function(x) {
p <- pt(q = t, df = df_error, ncp = x)
abs(max(p) - probs[2]) +
abs(min(p) - probs[1])
},
control = list(abstol = 1e-09)
))
t_ncp <- unname(sort(ncp$par))
return(t_ncp)
}
#' @keywords internals
#' @importFrom stats pchisq qchisq optim
.get_ncp_chi <- function(chi, df, conf.level = 0.95) {
# # Note: these aren't actually needed - all chisq related functions would fail earlier
# if (!is.finite(chi) || !is.finite(df)) {
# return(c(NA, NA))
# }
alpha <- 1 - conf.level
probs <- c(alpha / 2, 1 - alpha / 2)
ncp <- suppressWarnings(stats::optim(
par = 1.1 * rep(chi, 2),
fn = function(x) {
p <- stats::pchisq(q = chi, df, ncp = x)
abs(max(p) - probs[2]) +
abs(min(p) - probs[1])
},
control = list(abstol = 1e-09)
))
chi_ncp <- sort(ncp$par)
if (chi <= stats::qchisq(probs[1], df)) {
chi_ncp[2] <- 0
}
if (chi <= stats::qchisq(probs[2], df)) {
chi_ncp[1] <- 0
}
chi_ncp
}
# Validators --------------------------------------
#' @keywords internal
.test_ci <- function(ci) {
if (is.null(ci)) {
return(FALSE)
}
if (!is.numeric(ci) ||
length(ci) != 1L ||
ci < 0 ||
ci > 1) {
insight::format_error("ci must be a single numeric value between (0, 1)")
}
return(TRUE)
}
#' @keywords internal
.adjust_ci <- function(ci, alternative) {
if (alternative == "two.sided") {
return(ci)
}
2 * ci - 1
}
#' @keywords internal
.limit_ci <- function(out, alternative, lb, ub) {
if (alternative == "two.sided") {
return(out)
}
if (alternative == "less") {
out$CI_low <- lb
} else if (alternative == "greater") {
out$CI_high <- ub
}
out
}
#' @keywords internal
.match.alt <- function(alternative, two.sided = TRUE) {
if (is.null(alternative)) {
if (two.sided) {
return("two.sided")
} else {
return("greater")
}
}
match.arg(alternative, c("two.sided", "less", "greater"))
}
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