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#' Calculate a credible interval from a numerically specified posterior CDF or
#' from a sample from the posterior
#'
#' Calculates a lower, upper, or two-sided credible interval from the numerical
#' posterior CDF or from a sample from the posterior.
#'
#' This function uses linear interpolation to calculate bounds for points that
#' may not be specified by CDF
#'
#' @param theta either a sample from the posterior density or the values over
#' which the the posterior CDF is specified
#' @param cdf the values of the CDF, \eqn{F(\theta) =
#' \int_{-\infty}^{\theta}f(t).df} where \eqn{f(t)} is the PDF. This only needs
#' to be specified if a numerically specified posterior is being used
#' @param conf the desired 'confidence' level
#' @param type the type of interval to return, 'lower' = one sided lower bound,
#' 'two-sided' = two - sided, or 'upper' = one sided upper bound. It is
#' sufficient to use 'l','t' or 'u'
#' @return a list containing the elements lower.bound, uppper.bound or both
#' depending on type
#' @examples
#'
#' ## commands for calculating a numerical posterior CDF.
#' ## In this example, the likelihood is proportional to
#' ## \eqn{\theta^{3/2}\times \exp(-\theta/4)} and a N(6, 9) prior is used.
#' theta = seq(from = 0.001, to = 40, by = 0.001)
#' prior = dnorm(theta,6,3)
#' ppnLike = theta^1.5*exp(-theta/4)
#' ppnPost = prior*ppnLike
#' scaleFactor = sintegral(theta, ppnPost)$int
#' posterior = ppnPost/scaleFactor
#' cdf = sintegral(theta, posterior)$y
#' ci = credInt(theta, cdf)
#' par(mfrow=c(2,2))
#' plot(prior ~ theta, type = 'l', main = 'Prior N(6, 9)')
#' plot(ppnLike ~ theta, type = 'l', main = 'Proportional likelihood')
#' plot(posterior ~ theta, type = 'l', main = 'Posterior')
#' abline(v=c(unlist(ci)))
#'
#' ## Use an inverse method to take a random sample of size 1000
#' ## from the posterior
#' suppressWarnings({Finv = approxfun(cdf,theta)})
#' thetaSample = Finv(runif(1000))
#' ci = credInt(thetaSample)
#'
#' @export credInt
credInt = function(theta, cdf = NULL, conf = 0.95, type = "twosided") {
if (conf <= 0 | conf >= 1)
stop("conf must be between 0 and 1")
if (length(grep("^[Ll]", type)) > 0) {
type = "lower"
} else if (length(grep("^[Tt]", type)) > 0) {
type = "twosided"
} else if (length(grep("^[Uu]", type)) > 0) {
type = "upper"
} else {
stop("type must be one of lower, upper or twosided")
}
alpha = 1 - conf
n = length(theta)
if (n < 10)
stop("theta must have at least ten values")
if (!is.null(cdf)) {
suppressWarnings({Finv = approxfun(x = cdf, y = theta)})
if (type == "lower") {
lower.bound = Finv(alpha)
cat(paste("Lower credible bound is : ", lower.bound, "\n", sep = ""))
invisible(list(lower.bound = lower.bound))
} else if (type == "upper") {
upper.bound = Finv(1 - alpha)
cat(paste("Upper credible bound is : ", upper.bound, "\n", sep = ""))
invisible(list(upper.bound = upper.bound))
} else {
lower.bound = Finv(alpha/2)
upper.bound = Finv(1 - alpha/2)
cat(paste("Credible interval is : (", lower.bound, ",", upper.bound, ")\n", sep = ""))
invisible(list(lower.bound = lower.bound, upper.bound = upper.bound))
}
} else {
if (type == "lower") {
lower.bound = quantile(theta, alpha)
cat(paste("Lower credible bound is ", lower.bound, "\n", sep = ""))
invisible(list(lower.bound = lower.bound))
} else if (type == "upper") {
upper.bound = quantile(theta, 1 - alpha)
cat(paste("Upper credible bound is ", upper.bound, "\n", sep = ""))
invisible(list(upper.bound = upper.bound))
} else {
bounds = quantile(theta, c(alpha/2, 1 - alpha/2))
lower.bound = bounds[1]
upper.bound = bounds[2]
cat(paste("Credible interval is (", lower.bound, ",", upper.bound, ")\n", sep = ""))
invisible(list(lower.bound = lower.bound, upper.bound = upper.bound))
}
}
}
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