R/RcppExports.R

In SICSresearch/LatentREGpp: Item Response Theory Implemented in R and Cpp

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

itemfitcpp <- function(Rdata, dim, model, EMepsilon, Rtheta, Rweights, Rindividual_weights, dichotomous_data, Rpinned_items = as.integer( c()), Rinitial_values = matrix(1, 1), verbose = TRUE) {
    .Call('LatentREGpp_itemfitcpp', PACKAGE = 'LatentREGpp', Rdata, dim, model, EMepsilon, Rtheta, Rweights, Rindividual_weights, dichotomous_data, Rpinned_items, Rinitial_values, verbose)
}

itemfitcpp_bayesian <- function(Rdata, dim, model, EMepsilon, Rtheta, Rweights, Rindividual_weights, dichotomous_data, Rclusters = as.integer( c()), Rinitial_values = matrix(1, 1), noguessing = TRUE, verbose = TRUE) {
    .Call('LatentREGpp_itemfitcpp_bayesian', PACKAGE = 'LatentREGpp', Rdata, dim, model, EMepsilon, Rtheta, Rweights, Rindividual_weights, dichotomous_data, Rclusters, Rinitial_values, noguessing, verbose)
}

personfitcpp <- function(Rdata, dim, model, Rzetas, Rtheta, Rweights, method, by_individuals, dichotomous_data, Rinit_traits = matrix(1, 1)) {
    .Call('LatentREGpp_personfitcpp', PACKAGE = 'LatentREGpp', Rdata, dim, model, Rzetas, Rtheta, Rweights, method, by_individuals, dichotomous_data, Rinit_traits)
}