R/RcppExports.R

In nspope/corMLPE: A correlation structure for symmetric relational data

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

.factor_cov_cpp <- function(labels, L, K) {
    .Call('_corMLPE_factor_cov', PACKAGE = 'corMLPE', labels, L, K)
}

.recalc_cov_cpp <- function(labels, L, M, stddev, input) {
    .Call('_corMLPE_recalc_cov', PACKAGE = 'corMLPE', labels, L, M, stddev, input)
}

.getCovariate_cov_cpp <- function(labels, nodes) {
    .Call('_corMLPE_getCovariate_cov', PACKAGE = 'corMLPE', labels, nodes)
}

.recalc_cpp <- function(labels, nodes, P, D, input, rho) {
    .Call('_corMLPE_recalc', PACKAGE = 'corMLPE', labels, nodes, P, D, input, rho)
}

.recalc_inverse_cpp <- function(labels, nodes, P, D, input, rho) {
    .Call('_corMLPE_recalc_inverse', PACKAGE = 'corMLPE', labels, nodes, P, D, input, rho)
}

.getCovariate_cpp <- function(labels, nodes) {
    .Call('_corMLPE_adjacency', PACKAGE = 'corMLPE', labels, nodes)
}

.linear_index_NMLPE_cpp <- function(indices, dim) {
    .Call('_corMLPE_linear_index', PACKAGE = 'corMLPE', indices, dim)
}

.adjacency_NMLPE_cpp <- function(label, cluster) {
    .Call('_corMLPE_adjacency_NMLPE', PACKAGE = 'corMLPE', label, cluster)
}

.change_basis_NMLPE_cpp <- function(adj_0, adj_1, adj_2, adj_3, E_0, E_1, e_2, e_3, Linv) {
    .Call('_corMLPE_change_basis_NMLPE', PACKAGE = 'corMLPE', adj_0, adj_1, adj_2, adj_3, E_0, E_1, e_2, e_3, Linv)
}

.factor_cov_NMLPE_cpp <- function(labels, comparisons, L, K) {
    .Call('_corMLPE_factor_cov_NMLPE', PACKAGE = 'corMLPE', labels, comparisons, L, K)
}

.recalc_cov_NMLPE_cpp <- function(labels, comparisons, Linv, Minv, stddev, input) {
    .Call('_corMLPE_recalc_cov_NMLPE', PACKAGE = 'corMLPE', labels, comparisons, Linv, Minv, stddev, input)
}