R/RcppExports.R

In lgpr: Longitudinal Gaussian Process Regression

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

STAN_var_mask <- function(x, a, pstream__ = 0L) {
    .Call(`_lgpr_STAN_var_mask`, x, a, pstream__)
}

STAN_expand <- function(v, idx_expand, pstream__ = 0L) {
    .Call(`_lgpr_STAN_expand`, v, idx_expand, pstream__)
}

STAN_warp_input <- function(x, a, pstream__ = 0L) {
    .Call(`_lgpr_STAN_warp_input`, x, a, pstream__)
}

STAN_edit_x_cont <- function(x_cont, idx_expand, teff_obs, teff, pstream__ = 0L) {
    .Call(`_lgpr_STAN_edit_x_cont`, x_cont, idx_expand, teff_obs, teff, pstream__)
}

STAN_kernel_const_diag <- function(x, kernel_type, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_const_diag`, x, kernel_type, pstream__)
}

STAN_kernel_const_all_diag <- function(n, x, x_mask, components, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_const_all_diag`, n, x, x_mask, components, pstream__)
}

STAN_kernel_eq_diag <- function(n, alpha, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_eq_diag`, n, alpha, pstream__)
}

STAN_kernel_varmask_diag <- function(x, steepness, vm_params, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_varmask_diag`, x, steepness, vm_params, pstream__)
}

STAN_kernel_beta_diag <- function(beta, idx_expand, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_beta_diag`, beta, idx_expand, pstream__)
}

STAN_kernel_all_diag <- function(n, K_const_diag, components, x, x_unnorm, alpha, wrp, beta, teff, vm_params, idx_expand, teff_zero, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_all_diag`, n, K_const_diag, components, x, x_unnorm, alpha, wrp, beta, teff, vm_params, idx_expand, teff_zero, pstream__)
}

STAN_kernel_zerosum <- function(x1, x2, num_cat, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_zerosum`, x1, x2, num_cat, pstream__)
}

STAN_kernel_cat <- function(x1, x2, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_cat`, x1, x2, pstream__)
}

STAN_kernel_bin <- function(x1, x2, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_bin`, x1, x2, pstream__)
}

STAN_kernel_const <- function(x1, x2, kernel_type, ncat, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_const`, x1, x2, kernel_type, ncat, pstream__)
}

STAN_kernel_const_all <- function(n1, n2, x1, x2, x1_mask, x2_mask, num_levels, components, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_const_all`, n1, n2, x1, x2, x1_mask, x2_mask, num_levels, components, pstream__)
}

STAN_kernel_eq <- function(x1, x2, alpha, ell, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_eq`, x1, x2, alpha, ell, pstream__)
}

STAN_kernel_varmask <- function(x1, x2, steepness, vm_params, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_varmask`, x1, x2, steepness, vm_params, pstream__)
}

STAN_kernel_beta <- function(beta, idx1_expand, idx2_expand, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_beta`, beta, idx1_expand, idx2_expand, pstream__)
}

STAN_kernel_all <- function(n1, n2, K_const, components, x1, x2, x1_unnorm, x2_unnorm, alpha, ell, wrp, beta, teff, vm_params, idx1_expand, idx2_expand, teff_zero, pstream__ = 0L) {
    .Call(`_lgpr_STAN_kernel_all`, n1, n2, K_const, components, x1, x2, x1_unnorm, x2_unnorm, alpha, ell, wrp, beta, teff, vm_params, idx1_expand, idx2_expand, teff_zero, pstream__)
}

STAN_log_prior <- function(x, types, p, pstream__ = 0L) {
    .Call(`_lgpr_STAN_log_prior`, x, types, p, pstream__)
}

STAN_vectorsum <- function(vecs, L, pstream__ = 0L) {
    .Call(`_lgpr_STAN_vectorsum`, vecs, L, pstream__)
}

STAN_matrix_array_sum <- function(K, pstream__ = 0L) {
    .Call(`_lgpr_STAN_matrix_array_sum`, K, pstream__)
}