R/RcppExports.R

In fastei: Methods for ''A Fast Alternative for the R x C Ecological Inference Case''

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

EMAlgorithmFull <- function(candidate_matrix, group_matrix, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every) {
    .Call(`_fastei_EMAlgorithmFull`, candidate_matrix, group_matrix, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every)
}

bootstrapAlg <- function(candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every) {
    .Call(`_fastei_bootstrapAlg`, candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every)
}

groupAgg <- function(sd_statistic, sd_threshold, feasible, candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every) {
    .Call(`_fastei_groupAgg`, sd_statistic, sd_threshold, feasible, candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every)
}

groupAggGreedy <- function(sd_statistic, sd_threshold, candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every) {
    .Call(`_fastei_groupAggGreedy`, sd_statistic, sd_threshold, candidate_matrix, group_matrix, nboot, em_method, probability_method, maximum_iterations, maximum_seconds, stopping_threshold, log_stopping_threshold, compute_ll, verbose, step_size, samples, monte_method, monte_error, monte_iter, miniterations, LP_method, project_every)
}