R/RcppExports.R

In bgms: Bayesian Analysis of Networks of Binary and/or Ordinal Variables

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

sample_omrf_gibbs <- function(no_states, no_variables, no_categories, interactions, thresholds, iter) {
    .Call(`_bgms_sample_omrf_gibbs`, no_states, no_variables, no_categories, interactions, thresholds, iter)
}

sample_bcomrf_gibbs <- function(no_states, no_variables, no_categories, interactions, thresholds, variable_type, reference_category, iter) {
    .Call(`_bgms_sample_bcomrf_gibbs`, no_states, no_variables, no_categories, interactions, thresholds, variable_type, reference_category, iter)
}

gibbs_sampler <- function(observations, indicator, interactions, thresholds, no_categories, interaction_scale, proposal_sd, proposal_sd_blumecapel, edge_prior, theta, beta_bernoulli_alpha, beta_bernoulli_beta, dirichlet_alpha, Index, iter, burnin, n_cat_obs, sufficient_blume_capel, threshold_alpha, threshold_beta, na_impute, missing_index, variable_bool, reference_category, save = FALSE, display_progress = FALSE, edge_selection = TRUE) {
    .Call(`_bgms_gibbs_sampler`, observations, indicator, interactions, thresholds, no_categories, interaction_scale, proposal_sd, proposal_sd_blumecapel, edge_prior, theta, beta_bernoulli_alpha, beta_bernoulli_beta, dirichlet_alpha, Index, iter, burnin, n_cat_obs, sufficient_blume_capel, threshold_alpha, threshold_beta, na_impute, missing_index, variable_bool, reference_category, save, display_progress, edge_selection)
}

compare_gibbs_sampler <- function(observations_gr1, observations_gr2, no_categories_gr1, no_categories_gr2, interaction_scale, pairwise_difference_scale, main_difference_scale, pairwise_difference_prior, main_difference_prior, inclusion_probability_difference, pairwise_beta_bernoulli_alpha, pairwise_beta_bernoulli_beta, main_beta_bernoulli_alpha, main_beta_bernoulli_beta, Index, iter, burnin, n_cat_obs_gr1, n_cat_obs_gr2, sufficient_blume_capel_gr1, sufficient_blume_capel_gr2, threshold_alpha, threshold_beta, na_impute, missing_index_gr1, missing_index_gr2, ordinal_variable, reference_category, independent_thresholds, save = FALSE, display_progress = FALSE, difference_selection = TRUE) {
    .Call(`_bgms_compare_gibbs_sampler`, observations_gr1, observations_gr2, no_categories_gr1, no_categories_gr2, interaction_scale, pairwise_difference_scale, main_difference_scale, pairwise_difference_prior, main_difference_prior, inclusion_probability_difference, pairwise_beta_bernoulli_alpha, pairwise_beta_bernoulli_beta, main_beta_bernoulli_alpha, main_beta_bernoulli_beta, Index, iter, burnin, n_cat_obs_gr1, n_cat_obs_gr2, sufficient_blume_capel_gr1, sufficient_blume_capel_gr2, threshold_alpha, threshold_beta, na_impute, missing_index_gr1, missing_index_gr2, ordinal_variable, reference_category, independent_thresholds, save, display_progress, difference_selection)
}