Nothing
#' Conditional posterior distribution of the distinct Ystar in the case of
#' censoring
#'
#' This function evaluates the ratio of conditional posterior distributions of
#' the distinct latents Ystar.
#'
#' For internal use
#'
#' @keywords internal
#' @examples
#'
#' ## The function is currently defined as
#' function(v, v2, xleft, xright, censor_code, distr.k, sigma.k,
#' distr.p0, mu.p0, sigma.p0) {
#' alpha <- p0(v, distr = distr.p0, mu = mu.p0, sigma = sigma.p0) / p0(v2,
#' distr = distr.p0, mu = mu.p0, sigma = sigma.p0
#' )
#' Prod <- 1
#' for (i in seq_along(xleft)) {
#' fac <- dkcens2_1val(
#' xleft = xleft[i], xright = xright[i],
#' c_code = censor_code[i], distr = distr.k, mu = v,
#' sigma = sigma.k
#' ) / dkcens2_1val(
#' xleft = xleft[i], xright = xright[i],
#' c_code = censor_code[i], distr = distr.k, mu = v2,
#' sigma = sigma.k
#' )
#' Prod <- Prod * fac
#' }
#' f <- alpha * Prod
#' return(f)
#' }
rfystarcens2 <-
function(v, v2, xleft, xright, censor_code, distr.k, sigma.k,
distr.p0, mu.p0, sigma.p0) {
alpha <- p0(v, distr = distr.p0, mu = mu.p0, sigma = sigma.p0) / p0(v2,
distr = distr.p0, mu = mu.p0, sigma = sigma.p0
)
Prod <- 1
for (i in seq_along(xleft)) {
fac <- dkcens2_1val(
xleft = xleft[i], xright = xright[i],
c_code = censor_code[i], distr = distr.k, mu = v,
sigma = sigma.k
) / dkcens2_1val(
xleft = xleft[i], xright = xright[i],
c_code = censor_code[i], distr = distr.k, mu = v2,
sigma = sigma.k
)
Prod <- Prod * fac
}
f <- alpha * Prod
return(f)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.