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#' Maximum likelihood function for model het_l
#' @keywords internal
#' @noRd
#' @importFrom utils flush.console
ll_het_left <- function(params){
name.params <- names(params)
beta <- params[ - which(name.params %in% c("theta_0","theta_1","sigma"))]
beta <- unlist(beta)
sigma <- unlist(params[which(name.params %in% "sigma")])
theta_0 <- unlist(params[which(name.params %in% "theta_0")])
theta_1 <- unlist(params[which(name.params %in% "theta_1")])
cat("pars: ", theta_0, theta_1, sigma, beta, '\n')
flush.console()
n <- nrow(G)
I <- diag(n)
X <- as.matrix(X)
z <- diag(z)
sigma_2 <- sigma
reg_par <- solve_block(I - G %*% (theta_0 * I + theta_1 * z))
reg_par_2 <- solve_block(I - (theta_0 * I + theta_1 * z) %*% t(G))
omega <- sigma_2 * reg_par %*% reg_par_2
det_reg_par <- as.numeric(determinant(reg_par %*% reg_par_2,
logarithm = T)$modulus)
other_params <- Y - reg_par %*% (X %*% beta)
res <- -(n / 2) * log(sigma_2) - (1 / 2) * det_reg_par - (1 / 2) *
t(other_params) %*% solve_block(omega) %*% other_params
print( - res)
}
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