R/RcppExports.R

In remstats: Computes Statistics for Relational Event History Data

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

compute_stats_sender <- function(effects, edgelist, actors, weights, covariates, interactions, memory, memory_value, scaling, start, stop, method, display_progress) {
    .Call(`_remstats_compute_stats_sender`, effects, edgelist, actors, weights, covariates, interactions, memory, memory_value, scaling, start, stop, method, display_progress)
}

compute_stats_receiver <- function(effects, edgelist, actors, weights, covariates, interactions, memory, memory_value, scaling, start, stop, method, display_progress) {
    .Call(`_remstats_compute_stats_receiver`, effects, edgelist, actors, weights, covariates, interactions, memory, memory_value, scaling, start, stop, method, display_progress)
}

calculate_active_stats <- function(edgelist, risksetMatrix, stat_type, directed, start, stop, display_progress) {
    .Call(`_remstats_calculate_active_stats`, edgelist, risksetMatrix, stat_type, directed, start, stop, display_progress)
}

get_riskset <- function(actorID, typeID, directed) {
    .Call(`_remstats_get_riskset`, actorID, typeID, directed)
}

convert_to_risksetMatrix <- function(riskset, N, C) {
    .Call(`_remstats_convert_to_risksetMatrix`, riskset, N, C)
}

calculate_inertia <- function(edgelist, weights, risksetMatrix, memory, memory_value, start, stop, display_progress, method) {
    .Call(`_remstats_calculate_inertia`, edgelist, weights, risksetMatrix, memory, memory_value, start, stop, display_progress, method)
}

compute_stats_tie <- function(effects, edgelist, riskset, risksetMatrix, inertia, covariates, interactions, memory, memory_value, scaling, consider_type, start, stop, directed, display_progress, method) {
    .Call(`_remstats_compute_stats_tie`, effects, edgelist, riskset, risksetMatrix, inertia, covariates, interactions, memory, memory_value, scaling, consider_type, start, stop, directed, display_progress, method)
}

calculate_FEtype_sampled <- function(covariates, edgelist, riskset, start, stop, method, sample_map) {
    .Call(`_remstats_calculate_FEtype_sampled`, covariates, edgelist, riskset, start, stop, method, sample_map)
}

calculate_exo_actor_sampled <- function(type, edgelist, riskset, covariates, start, stop, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_exo_actor_sampled`, type, edgelist, riskset, covariates, start, stop, display_progress, method, sample_map)
}

calculate_pshift_sampled <- function(type, edgelist, risksetMatrix, riskset, start, stop, directed, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_pshift_sampled`, type, edgelist, risksetMatrix, riskset, start, stop, directed, consider_type, display_progress, method, sample_map)
}

calculate_rrank_sampled <- function(type, edgelist, risksetMatrix, riskset, start, stop, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_rrank_sampled`, type, edgelist, risksetMatrix, riskset, start, stop, consider_type, display_progress, method, sample_map)
}

calculate_inertia_sampled <- function(edgelist, weights, risksetMatrix, riskset, memory, memory_value, start, stop, directed, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_inertia_sampled`, edgelist, weights, risksetMatrix, riskset, memory, memory_value, start, stop, directed, consider_type, display_progress, method, sample_map)
}

calculate_reciprocity_sampled <- function(edgelist, weights, risksetMatrix, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_reciprocity_sampled`, edgelist, weights, risksetMatrix, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map)
}

calculate_degree_actor_sampled <- function(type, edgelist, weights, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_degree_actor_sampled`, type, edgelist, weights, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map)
}

calculate_degree_dyad_sampled <- function(type, edgelist, weights, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_degree_dyad_sampled`, type, edgelist, weights, riskset, memory, memory_value, start, stop, consider_type, display_progress, method, sample_map)
}

calculate_triad_sampled <- function(type, edgelist, weights, riskset, risksetMatrix, memory, memory_value, start, stop, scaling, consider_type, display_progress, method, sample_map) {
    .Call(`_remstats_calculate_triad_sampled`, type, edgelist, weights, riskset, risksetMatrix, memory, memory_value, start, stop, scaling, consider_type, display_progress, method, sample_map)
}

get_userstat_sampled <- function(covariatesSEXP, edgelist, start, stop, display_progress, method, sample_map) {
    .Call(`_remstats_get_userstat_sampled`, covariatesSEXP, edgelist, start, stop, display_progress, method, sample_map)
}

compute_stats_tie_sampled <- function(effects, edgelist, weights, riskset, risksetMatrix, covariates, interactions, memory, memory_value, scaling, consider_type, start, stop, directed, display_progress, method, sample_map) {
    .Call(`_remstats_compute_stats_tie_sampled`, effects, edgelist, weights, riskset, risksetMatrix, covariates, interactions, memory, memory_value, scaling, consider_type, start, stop, directed, display_progress, method, sample_map)
}

combine_stats <- function(array_list, keep_list) {
    .Call(`_remstats_combine_stats`, array_list, keep_list)
}

# Register entry points for exported C++ functions
methods::setLoadAction(function(ns) {
    .Call(`_remstats_RcppExport_registerCCallable`)
})