Nothing
#' The value of the mixed densities of multivarite skew t distributions.
#'
#' @param x grid for which the standard errors are calculated
#' @param model an object of the parameters of the mixture of multivariate skew t distributions.
#'pro a vector for the mixture ratios, mu the values, sigma, delta, nu
#' @param log logical; if TRUE, probabilities p are given as log(p).
#' @return numeric vector with the values of the mixture of the density functions.
#' @keywords standard error function
#' @useDynLib fitmixst4
#' @export
#' @examples
#' pro = 1; mu=1; Sigma=3; delta=2; nu=10;
#' para = list(pro=pro,mu=mu,Sigma=Sigma,delta=delta,nu=nu)
#' y=rmixst(100,para)
#' out <- fitmixst(y,g=1,method="kmeans")
#' std = stderror(y, out)
stderror <- function (x, model, log = FALSE){
if(is(model,"fitmixout")){
if(model@para@p == 1){
all = c(model@para@pro, unlist(model@para@mu), unlist(model@para@Sigma), unlist(model@para@delta),
unlist(model@para@nu))
empcov = model@empcov
gg = model@para@g
}
else{
cat("error: dimension > 1")
return()
}
}
else
{
cat("error: input not a fitmixout object")
}
.Call("stderrorC", x, all, empcov, gg, log, PACKAGE = "fitmixst4")
}
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.