#include <cstddef>#include <memory_resource>#include <nk/value/value.hpp>Go to the source code of this file.
Enumerations | |
| enum class | nk::stats::LhsCriterion { LhsCriterion::None , LhsCriterion::Maximin , LhsCriterion::Correlation } |
| Criterion for lhsdesign optimization. More... | |
Functions | |
| Value | nk::stats::lhsdesign (::nk::ops::RngContext &rng, std::size_t n, std::size_t p, bool smooth, LhsCriterion criterion, std::size_t iterations, std::pmr::memory_resource *mr=nullptr) |
| Latin Hypercube design (X = lhsdesign(n, p[, options])). | |
| Value | nk::stats::lhsdesign (::nk::ops::RngContext &rng, std::size_t n, std::size_t p, std::pmr::memory_resource *mr=nullptr) |
| Latin Hypercube design with MATLAB defaults (smooth = on, criterion = maximin, iterations = 5). | |
| Value | nk::stats::lhsnorm (::nk::ops::RngContext &rng, const Value &mu, const Value &Sigma, std::size_t n, std::pmr::memory_resource *mr=nullptr) |
| Latin Hypercube sample mapped to a Gaussian (Y = lhsnorm(mu, Sigma, n)). | |