R/RcppExports.R

Defines functions .vsbn_cpp .vsb0_cpp .sb_voronoi_cpp .sb_localbalance_cpp .spm_cpp .rpm_cpp .lpm_int_cpp .lpm_cpp .hlpm2_cpp .getpips_cpp .lcube_stratified_cpp .cube_stratified_cpp .lcube_cpp .cube_cpp .cps_random_cpp .cps_cpp

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

.cps_cpp <- function(cpsMethod, prob, x, treeBucketSize, treeMethod, eps) {
    .Call('_BalancedSampling_cps_cpp', PACKAGE = 'BalancedSampling', cpsMethod, prob, x, treeBucketSize, treeMethod, eps)
}

.cps_random_cpp <- function(prob, x, random, treeBucketSize, treeMethod, eps) {
    .Call('_BalancedSampling_cps_random_cpp', PACKAGE = 'BalancedSampling', prob, x, random, treeBucketSize, treeMethod, eps)
}

.cube_cpp <- function(prob, x, eps) {
    .Call('_BalancedSampling_cube_cpp', PACKAGE = 'BalancedSampling', prob, x, eps)
}

.lcube_cpp <- function(prob, xbal, xspread, treeBucketSize, treeMethod, eps) {
    .Call('_BalancedSampling_lcube_cpp', PACKAGE = 'BalancedSampling', prob, xbal, xspread, treeBucketSize, treeMethod, eps)
}

.cube_stratified_cpp <- function(prob, x, strata, eps) {
    .Call('_BalancedSampling_cube_stratified_cpp', PACKAGE = 'BalancedSampling', prob, x, strata, eps)
}

.lcube_stratified_cpp <- function(prob, xbalance, xspread, strata, bucketSize, method, eps) {
    .Call('_BalancedSampling_lcube_stratified_cpp', PACKAGE = 'BalancedSampling', prob, xbalance, xspread, strata, bucketSize, method, eps)
}

.getpips_cpp <- function(x, n) {
    .Call('_BalancedSampling_getpips_cpp', PACKAGE = 'BalancedSampling', x, n)
}

.hlpm2_cpp <- function(prob, x, sizes, treeBucketSize, treeMethod, eps) {
    .Call('_BalancedSampling_hlpm2_cpp', PACKAGE = 'BalancedSampling', prob, x, sizes, treeBucketSize, treeMethod, eps)
}

.lpm_cpp <- function(lpMethod, prob, x, treeBucketSize, treeMethod, eps) {
    .Call('_BalancedSampling_lpm_cpp', PACKAGE = 'BalancedSampling', lpMethod, prob, x, treeBucketSize, treeMethod, eps)
}

.lpm_int_cpp <- function(lpMethod, n, x, treeBucketSize, treeMethod) {
    .Call('_BalancedSampling_lpm_int_cpp', PACKAGE = 'BalancedSampling', lpMethod, n, x, treeBucketSize, treeMethod)
}

.rpm_cpp <- function(prob, eps) {
    .Call('_BalancedSampling_rpm_cpp', PACKAGE = 'BalancedSampling', prob, eps)
}

.spm_cpp <- function(prob, eps) {
    .Call('_BalancedSampling_spm_cpp', PACKAGE = 'BalancedSampling', prob, eps)
}

.sb_localbalance_cpp <- function(prob, x, sample, treeBucketSize, treeMethod) {
    .Call('_BalancedSampling_sb_localbalance_cpp', PACKAGE = 'BalancedSampling', prob, x, sample, treeBucketSize, treeMethod)
}

.sb_voronoi_cpp <- function(prob, x, sample, treeBucketSize, treeMethod) {
    .Call('_BalancedSampling_sb_voronoi_cpp', PACKAGE = 'BalancedSampling', prob, x, sample, treeBucketSize, treeMethod)
}

.vsb0_cpp <- function(probs, ys, xs, treeBucketSize, treeMethod) {
    .Call('_BalancedSampling_vsb0_cpp', PACKAGE = 'BalancedSampling', probs, ys, xs, treeBucketSize, treeMethod)
}

.vsbn_cpp <- function(probs, ys, xs, n, treeBucketSize, treeMethod) {
    .Call('_BalancedSampling_vsbn_cpp', PACKAGE = 'BalancedSampling', probs, ys, xs, n, treeBucketSize, treeMethod)
}

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BalancedSampling documentation built on May 29, 2024, 10:25 a.m.