R/RcppExports.R

In BayesPIM: Bayesian Prevalence-Incidence Mixture Model

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

augment_C_Rcpp <- function(pobs, Vobs, X, kappa, theta1, r, g_fixed) {
    .Call(`_BayesPIM_augment_C_Rcpp`, pobs, Vobs, X, kappa, theta1, r, g_fixed)
}

augment_C_collapsed_rcpp <- function(w_sums, Vobs, kappa, theta1, r, g_fixed) {
    .Call(`_BayesPIM_augment_C_collapsed_rcpp`, w_sums, Vobs, kappa, theta1, r, g_fixed)
}

fc_kappa_rcpp <- function(Vobs, j_, a, b, g, r, g_fixed) {
    .Call(`_BayesPIM_fc_kappa_rcpp`, Vobs, j_, a, b, g, r, g_fixed)
}

lookUpMat_rcpp <- function(L, a) {
    .Call(`_BayesPIM_lookUpMat_rcpp`, L, a)
}

P_vobs_Rcpp <- function(Vobs, kappa) {
    .Call(`_BayesPIM_P_vobs_Rcpp`, Vobs, kappa)
}

pdist_rcpp <- function(q, par, dist) {
    .Call(`_BayesPIM_pdist_rcpp`, q, par, dist)
}

pnorm_rcpp <- function(pobs_vec, Vobs, Vobs_L, Vobs_R, cur_par_X, dist_X, collapsed_g) {
    .Call(`_BayesPIM_pnorm_rcpp`, pobs_vec, Vobs, Vobs_L, Vobs_R, cur_par_X, dist_X, collapsed_g)
}

sample_k_rcpp <- function(pobs_norm) {
    .Call(`_BayesPIM_sample_k_rcpp`, pobs_norm)
}