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#' @title Find non-centrality parameter
#' @description Find the non-centrality parameter of a Chi-squared distribution
#' given a quantile, its corresponding probability, and the degrees of freedom.
#'
#' @param df degrees of freedom, a positive number
#' @param q a quantile
#' @param p probability corresponding to the quantile \code{q}
#'
#' @return The non-centrality parameter of the Chi-squared distribution with
#' degrees of freedom parameter \code{df} and with cumulative probability
#' \code{p} at the quantile \code{q}.
#' @export
#'
#' @examples
#' library(boodist)
#' ncp <- findChi2ncp(df = 1, q = 3, p = 0.1)
#' pchisq(3, df = 1, ncp = ncp) # should be 0.1
findChi2ncp <- function(df, q, p) {
stopifnot(df > 0)
stopifnot(q >= 0)
stopifnot(p >= 0, p <= 1)
find_chisq_ncp(df, q, p)
}
#' @title Find degrees of freedom
#' @description Find the degrees of freedom parameter of a non-central
#' Chi-squared distribution given a quantile, its corresponding
#' probability, and the non-centrality parameter.
#'
#' @param ncp non-centrality parameter, a non-negative number
#' @param q a quantile
#' @param p probability corresponding to the quantile \code{q}
#'
#' @return The degrees of freedom parameter of the non-central Chi-squared
#' distribution with non-centrality parameter \code{ncp} and with
#' cumulative probability \code{p} at the quantile \code{q}.
#' @export
#'
#' @examples
#' library(boodist)
#' nu <- findChi2df(ncp = 10, q = 3, p = 0.1)
#' pchisq(3, df = nu, ncp = 10) # should be 0.1
findChi2df <- function(ncp, q, p) {
stopifnot(ncp >= 0)
stopifnot(q >= 0)
stopifnot(p >= 0, p <= 1)
find_chisq_df(ncp, q, p)
}
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