R/RcppExports.R

In sensitivity: Global Sensitivity Analysis of Model Outputs and Importance Measures

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

DisC2_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisC2_Crossprod`, X, d)
}

DisC2_Rowprod <- function(x, d) {
    .Call(`_sensitivity_DisC2_Rowprod`, x, d)
}

DisL2_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisL2_Crossprod`, X, d)
}

DisL2_Rowprod <- function(x, d) {
    .Call(`_sensitivity_DisL2_Rowprod`, x, d)
}

DisL2star_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisL2star_Crossprod`, X, d)
}

DisM2_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisM2_Crossprod`, X, d)
}

DisM2_Rowprod <- function(x, d) {
    .Call(`_sensitivity_DisM2_Rowprod`, x, d)
}

DisS2_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisS2_Crossprod`, X, d)
}

DisS2_Rowprod <- function(x, d) {
    .Call(`_sensitivity_DisS2_Rowprod`, x, d)
}

DisW2_Crossprod <- function(X, d) {
    .Call(`_sensitivity_DisW2_Crossprod`, X, d)
}

cpp_get_indices <- function(data, RP, I, bootsample, d) {
    .Call(`_sensitivity_cpp_get_indices`, data, RP, I, bootsample, d)
}

cpp_get_total_indices <- function(data, bootsample) {
    .Call(`_sensitivity_cpp_get_total_indices`, data, bootsample)
}

Compar_array <- function(X, Y) {
    .Call(`_sensitivity_Compar_array`, X, Y)
}

maximin_cpp <- function(X) {
    .Call(`_sensitivity_maximin_cpp`, X)
}

nested_permu_cplus <- function(layers) {
    .Call(`_sensitivity_nested_permu_cplus`, layers)
}

nested_lhs_cplus <- function(d, layers) {
    .Call(`_sensitivity_nested_lhs_cplus`, d, layers)
}