gamma_dist.hpp

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// toolboxes/stats/include/nk/stats/distributions/gamma_dist.hpp
//
// Gamma distribution Gamma(a, b): a = shape, b = scale.
 
#pragma once
 
#include <memory_resource>
#include <nk/value/value.hpp>
 
#include <tuple>
 
namespace nk {

 namespace ops { class RngContext; } }
 
namespace nk::stats {

Value gampdf(const Value &x, double a, double b, std::pmr::memory_resource *mr = nullptr);

Value gamcdf(const Value &x, double a, double b, std::pmr::memory_resource *mr = nullptr);

Value gaminv(const Value &p, double a, double b, std::pmr::memory_resource *mr = nullptr);

Value gamrnd(::nk::ops::RngContext &rng, double a, double b, size_t rows = 1, size_t cols = 1, std::pmr::memory_resource *mr = nullptr);

std::tuple<double, double> gamstat(double a, double b);

Value randg(::nk::ops::RngContext &rng, double shape, size_t rows = 1, size_t cols = 1,
            std::pmr::memory_resource *mr = nullptr);

Value randg(::nk::ops::RngContext &rng, const Value &shapeArray,
            std::pmr::memory_resource *mr = nullptr);

Value gamfit(const Value &x, std::pmr::memory_resource *mr = nullptr);

Value gamfit(const Value &x, const Value &censoring, const Value &freq,
             std::pmr::memory_resource *mr = nullptr);

Value gamfit_ci(const Value &x, double alpha = 0.05,
                std::pmr::memory_resource *mr = nullptr);

Value gamfit_ci(const Value &x, double alpha,
                const Value &censoring, const Value &freq,
                std::pmr::memory_resource *mr = nullptr);
 

} // namespace nk::stats