#include <memory_resource>#include <nk/value/value.hpp>#include <tuple>Go to the source code of this file.
Functions | |
| Value | nk::stats::gevpdf (const Value &x, double k, double sigma, double mu, std::pmr::memory_resource *mr=nullptr) |
| GEV pdf (y = gevpdf(x, k, sigma, mu)). | |
| Value | nk::stats::gevcdf (const Value &x, double k, double sigma, double mu, std::pmr::memory_resource *mr=nullptr) |
| GEV cdf (p = gevcdf(x, k, sigma, mu)). | |
| Value | nk::stats::gevinv (const Value &p, double k, double sigma, double mu, std::pmr::memory_resource *mr=nullptr) |
| GEV inverse cdf (x = gevinv(p, k, sigma, mu)). | |
| Value | nk::stats::gevrnd (::nk::ops::RngContext &rng, double k, double sigma, double mu, size_t rows=1, size_t cols=1, std::pmr::memory_resource *mr=nullptr) |
| GEV random samples (r = gevrnd(k, sigma, mu, rows, cols)). | |
| std::tuple< double, double > | nk::stats::gevstat (double k, double sigma, double mu) |
| GEV mean and variance ([m, v] = gevstat(k, sigma, mu)). | |
| Value | nk::stats::gevfit (const Value &x, std::pmr::memory_resource *mr=nullptr) |
| GEV MLE fit ([parmhat, parmci] = gevfit(x, alpha)). | |
| Value | nk::stats::gevfit_ci (const Value &x, double alpha=0.05, std::pmr::memory_resource *mr=nullptr) |
| 95% Wald CI for gevfit (pci = gevfit_ci(x, alpha)). | |