9#include <memory_resource>
10#include <nk/value/value.hpp>
34 std::pmr::memory_resource *mr =
nullptr);
48 std::pmr::memory_resource *mr =
nullptr);
61 std::pmr::memory_resource *mr =
nullptr);
75 std::pmr::memory_resource *mr =
nullptr);
87std::tuple<double, double>
betastat(
double a,
double b);
107 std::pmr::memory_resource *mr =
nullptr);
Core MATLAB-compatible multidimensional array and scalar value type.
std::tuple< double, double > betastat(double a, double b)
Beta mean and variance ([m, v] = betastat(a, b)).
Value betainv(const Value &p, double a, double b, std::pmr::memory_resource *mr=nullptr)
Beta inverse cdf (x = betainv(p, a, b)).
Value betacdf(const Value &x, double a, double b, std::pmr::memory_resource *mr=nullptr)
Beta cdf (p = betacdf(x, a, b)).
Value betapdf(const Value &x, double a, double b, std::pmr::memory_resource *mr=nullptr)
Beta pdf (y = betapdf(x, a, b)).
Value betafit(const Value &x, std::pmr::memory_resource *mr=nullptr)
Beta(a, b) MLE fit ([ahat, bhat] = betafit(x)).
Value betarnd(::nk::ops::RngContext &rng, double a, double b, size_t rows=1, size_t cols=1, std::pmr::memory_resource *mr=nullptr)
Beta random samples (r = betarnd(a, b, rows, cols)).
Value betafit_ci(const Value &x, double alpha=0.05, std::pmr::memory_resource *mr=nullptr)
95% Wald CI for betafit (pci = betafit_ci(x, alpha)).