#' mple_com_ikte_gaus
#'
#' @param rho rho of which make comparison of MPLE and IKTE
#'
#' @return matrix with loglikelihood of MPLE and IKTE estimation
#' @export
#'
mple_com_ikte_gaus <- function(rho){
out <- matrix(ncol = 2, nrow = length(rho))
for (i in 1:length(rho)){
set.seed(271)
nc <- normalCopula(rho[i], dim = 3)
U <- pobs(rCopula(1000, copula = nc))
fit.N <- fitCopula(normalCopula(, dim = 3, dispstr = "un"), data = U)
mple_rho <- fit.N@loglik
P. <- cor(U, method = "kendall")
ikte_rho <- sum(dCopula(U, copula = normalCopula(P2p(P.), dim = 3, dispstr = "un"), log = TRUE)) # log-likelihood
out[i,] <- c(mple_rho, ikte_rho)
}
colnames(out) <- c("MPLE", "IKTE")
rownames(out) <- rho
return(t(out))
}
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