R/RcppExports.R

In kdensity: Kernel Density Estimation with Parametric Starts and Asymmetric Kernels

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

compact_kernel_cache_cpp <- function(sorted_x, sorted_weights, h) {
    .Call(`_kdensity_compact_kernel_cache_cpp`, sorted_x, sorted_weights, h)
}

kernel_weighted_sum_sorted_cpp <- function(y, sorted_x, sorted_weights, h, kernel_id, cache) {
    .Call(`_kdensity_kernel_weighted_sum_sorted_cpp`, y, sorted_x, sorted_weights, h, kernel_id, cache)
}

kernel_weighted_sum_cpp <- function(y, x, weights, h, kernel_id, cache1, cache2) {
    .Call(`_kdensity_kernel_weighted_sum_cpp`, y, x, weights, h, kernel_id, cache1, cache2)
}

designated_loo_parameters_cpp <- function(x, start_id) {
    .Call(`_kdensity_designated_loo_parameters_cpp`, x, start_id)
}

ucv_loo_term_cpp <- function(x, h, kernel_id, start_id, parameters) {
    .Call(`_kdensity_ucv_loo_term_cpp`, x, h, kernel_id, start_id, parameters)
}

linear_bin_cpp <- function(points, weights, lower, spacing, n_nodes) {
    .Call(`_kdensity_linear_bin_cpp`, points, weights, lower, spacing, n_nodes)
}