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#' Distribution function truncated normal
#'
#' Computes the cumulative distribution function.
#'
#' For internal use
#'
#' @note Taken from \code{msm} R-package.
#' @author C. H. Jackson
#' @references Taken from
#' @keywords internal
#' @examples
#'
#' ## The function is currently defined as
#' function(q, mean = 0, sd = 1, lower = -Inf, upper = Inf, lower.tail = TRUE,
#' log.p = FALSE) {
#' ret <- numeric(length(q))
#' if (lower.tail) {
#' ret[q < lower] <- 0
#' ret[q > upper] <- 1
#' }
#' else {
#' ret[q < lower] <- 1
#' ret[q > upper] <- 0
#' }
#' ret[upper < lower] <- NaN
#' ind <- q >= lower & q <= upper
#' if (any(ind)) {
#' denom <- pnorm(upper, mean, sd) - pnorm(
#' lower, mean,
#' sd
#' )
#' if (lower.tail) {
#' qtmp <- pnorm(q, mean, sd) - pnorm(lower, mean, sd)
#' } else {
#' qtmp <- pnorm(upper, mean, sd) - pnorm(
#' q, mean,
#' sd
#' )
#' }
#' if (log.p) {
#' qtmp <- log(qtmp) - log(denom)
#' } else {
#' qtmp <- qtmp / denom
#' }
#' ret[q >= lower & q <= upper] <- qtmp[ind]
#' }
#' ret
#' }
ptnorm <-
function(q, mean = 0, sd = 1, lower = -Inf, upper = Inf, lower.tail = TRUE,
log.p = FALSE) {
ret <- numeric(length(q))
if (lower.tail) {
ret[q < lower] <- 0
ret[q > upper] <- 1
}
else {
ret[q < lower] <- 1
ret[q > upper] <- 0
}
ret[upper < lower] <- NaN
ind <- q >= lower & q <= upper
if (any(ind)) {
denom <- pnorm(upper, mean, sd) - pnorm(
lower, mean,
sd
)
if (lower.tail) {
qtmp <- pnorm(q, mean, sd) - pnorm(lower, mean, sd)
} else {
qtmp <- pnorm(upper, mean, sd) - pnorm(
q, mean,
sd
)
}
if (log.p) {
qtmp <- log(qtmp) - log(denom)
} else {
qtmp <- qtmp / denom
}
ret[q >= lower & q <= upper] <- qtmp[ind]
}
ret
}
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