Nothing
UNSPECIFIED_LABEL='an unspecified input distribution'
#' Highest density region (HDR) for an arbitrary distributions
#'
#'
#' @param cover.prob The probability coverage for the HDR (scalar between zero and one). The significance level for the HDR i is \code{1-cover.prob}.
#' @param Q an inverse CDF of a distribution
#' @param f a PDF of a distribution
#' @param F a CDF of a distribution
#' @param u a log-derivative of f
#' @param decreasing Direction of monotone distribution
#' @param distribution a label
#' @param ... Arguments for Q, f and u
#' @inheritParams checkIterArgs
#' @return An interval object with classes \code{hdr} and \code{interval} containing the highest density region and related information.
#'
#' @seealso HDR.discrete
#'
#' @examples
#'
#' HDR.monotone(.95, Q=qexp)
#'
#' HDR.unimodal(.95, Q=qnorm)
#'
#' HDR.bimodal(.95, Q=qbeta, shape1=1/2, shape2=1/2)
#'
#' HDR.discrete.unimodal(.95, Q=qpois, F=ppois, lambda=1)
#'
#' @rdname custom
HDR.monotone <- function(cover.prob, Q, decreasing = TRUE, distribution = UNSPECIFIED_LABEL, ...) {
hdr(cover.prob = cover.prob, modality=monotone, Q=Q, distribution=distribution, decreasing=decreasing, ...)
}
#' @rdname custom
HDR.unimodal <- function(cover.prob, Q, f = NULL, u = NULL, distribution = UNSPECIFIED_LABEL,
...,
gradtol = 1e-10, steptol = 1e-10, iterlim = 100) {
hdr(cover.prob = cover.prob, modality=unimodal, Q=Q, f=f, u=u, distribution=distribution,
...,
gradtol = gradtol, steptol = steptol, iterlim = iterlim)
}
#' @rdname custom
HDR.bimodal <- function(cover.prob, Q, f = NULL, u = NULL, distribution = UNSPECIFIED_LABEL,
...,
gradtol = 1e-10, steptol = 1e-10, iterlim = 100) {
hdr(cover.prob = cover.prob, modality=bimodal, Q=Q, f=f, u=u, distribution=distribution,
...,
gradtol = gradtol, steptol = steptol, iterlim = iterlim)
}
#' @rdname custom
HDR.discrete.unimodal <- function(cover.prob, Q, F, f = NULL, u = NULL, distribution = UNSPECIFIED_LABEL,
...,
gradtol = 1e-10, steptol = 1e-10, iterlim = 100) {
hdr(cover.prob = cover.prob, modality=discrete.unimodal, Q=Q, F=F, f=f, u=u, distribution=distribution,
...,
gradtol = gradtol, steptol = steptol, iterlim = iterlim)
}
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