compute_log_likelihood.simple
computes the log-likelihood of the data
in the simple case where the inverse of the variance matrix is given.
compute_log_likelihood.simple(phylo, Y_data_vec, sim, Sigma, Sigma_YY_chol_inv, miss = rep(FALSE, dim(sim)[1] * length(phylo$tip.label)), masque_data = c(rep(TRUE, dim(sim)[1] * length(phylo$tip.label)), rep(FALSE, dim(sim)[1] * phylo$Nnode)), ...)
simulate
compute_variance_covariance
compute_mean_variance.simple
. It uses functions
extract.variance_covariance
, extract.covariance_parents
, and
extract_simulate_internal
to extract the needed quantities from these objects.