bayes.hpp File Reference

#include <randlib/core/errors.hpp>
#include <randlib/bivariate/normal_inverse_gamma.hpp>
#include <randlib/continuous/beta.hpp>
#include <randlib/continuous/exponential.hpp>
#include <randlib/continuous/gamma.hpp>
#include <randlib/continuous/inverse_gamma.hpp>
#include <randlib/continuous/log_normal.hpp>
#include <randlib/continuous/normal.hpp>
#include <randlib/continuous/pareto.hpp>
#include <randlib/continuous/uniform.hpp>
#include <randlib/continuous/weibull.hpp>
#include <randlib/discrete/binomial.hpp>
#include <randlib/discrete/negative_binomial.hpp>
#include <randlib/discrete/poisson.hpp>
#include <concepts>
#include <ranges>
#include <span>
#include <type_traits>

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Classes
struct	randlib::detail::BayesModel< NormalRand< Real >, NormalInverseGammaRand< Real > >
struct	randlib::detail::BayesModel< LogNormalRand< Real >, NormalInverseGammaRand< Real > >
struct	randlib::detail::BayesModel< ExponentialRand< Real >, GammaRand< Real > >
struct	randlib::detail::BayesModel< PoissonRand< Int >, GammaRand< double > >
struct	randlib::detail::ConditionalBayesModel< NormalRand< Real >, NormalRand< Real > >
struct	randlib::detail::ConditionalBayesModel< NormalRand< Real >, InverseGammaRand< Real > >
struct	randlib::detail::ConditionalBayesModel< LogNormalRand< Real >, NormalRand< Real > >
struct	randlib::detail::ConditionalBayesModel< LogNormalRand< Real >, InverseGammaRand< Real > >
struct	randlib::detail::ConditionalBayesModel< BinomialRand< Int >, BetaRand< double > >
struct	randlib::detail::ConditionalBayesModel< NegativeBinomialRand< Int, Shape >, BetaRand< double > >
struct	randlib::detail::ConditionalBayesModel< WeibullRand< Real >, InverseGammaRand< Real > >
struct	randlib::detail::ConditionalBayesModel< ParetoRand< Real >, GammaRand< Real > >
struct	randlib::detail::ConditionalBayesModel< UniformRand< Real >, ParetoRand< Real > >

Namespaces
namespace	randlib
namespace	randlib::detail

Concepts
concept	randlib::detail::ConjugateModel
concept	randlib::detail::ConditionalConjugateModel

Functions
template<class Distribution , class Prior > requires detail::ConjugateModel<Distribution, Prior>
auto	randlib::fit_bayes (std::span< const typename Distribution::value_type > sample, const Prior &prior)
template<class Distribution , std::ranges::contiguous_range Range, class Prior > requires std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, typename Distribution::value_type> && detail::ConjugateModel<Distribution, Prior>
auto	randlib::fit_bayes (const Range &sample, const Prior &prior)
template<class Distribution , std::ranges::contiguous_range Range, class Prior , class Fixed > requires std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, typename Distribution::value_type> && detail::ConditionalConjugateModel<Distribution, Prior, Fixed>
auto	randlib::fit_bayes (const Range &sample, const Prior &prior, Fixed fixed)
template<std::ranges::contiguous_range Range, std::floating_point Real> requires std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, Real>
auto	randlib::fit_bayes (const Range &sample, const NormalInverseGammaRand< Real > &prior)
template<std::ranges::contiguous_range Range, std::floating_point Real> requires std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, Real>
auto	randlib::fit_bayes (const Range &sample, const GammaRand< Real > &prior)
template<std::ranges::contiguous_range Range> requires std::integral<std::remove_cv_t<std::ranges::range_value_t<Range>>>
auto	randlib::fit_bayes (const Range &sample, const GammaRand< double > &prior)