censored.hpp File Reference

#include <randlib/fit/mle.hpp>
#include <algorithm>
#include <cmath>
#include <concepts>
#include <limits>
#include <ranges>
#include <span>
#include <stdexcept>
#include <type_traits>
#include <utility>
#include <vector>

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Classes
struct	randlib::CensoredObservation< Real >

Namespaces
namespace	randlib
namespace	randlib::detail

Enumerations
enum class	randlib::Censoring { randlib::Exact , randlib::Left , randlib::Right , randlib::Interval }

Functions
template<class Distribution > requires std::floating_point<typename Distribution::value_type> && detail::FittableModel<Distribution>
FitResult< Distribution >	randlib::fit_censored (std::span< const CensoredObservation< typename Distribution::value_type > > observations, FitOptions options={})
template<class Distribution , std::ranges::contiguous_range Range> requires std::floating_point<typename Distribution::value_type> && detail::FittableModel<Distribution> && std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, CensoredObservation<typename Distribution::value_type>> && (!std::same_as<std::remove_cvref_t<Range>, std::span<const CensoredObservation<typename Distribution::value_type>>>)
FitResult< Distribution >	randlib::fit_censored (const Range &observations, FitOptions options={})
template<class Distribution > requires std::floating_point<typename Distribution::value_type> && detail::FittableModel<Distribution>
FitResult< Distribution >	randlib::fit_truncated (std::span< const typename Distribution::value_type > sample, typename Distribution::value_type lower, typename Distribution::value_type upper, FitOptions options={})
template<class Distribution , std::ranges::contiguous_range Range> requires std::floating_point<typename Distribution::value_type> && detail::FittableModel<Distribution> && std::same_as<std::remove_cv_t<std::ranges::range_value_t<Range>>, typename Distribution::value_type> && (!std::same_as<std::remove_cvref_t<Range>, std::span<const typename Distribution::value_type>>)
FitResult< Distribution >	randlib::fit_truncated (const Range &sample, typename Distribution::value_type lower, typename Distribution::value_type upper, FitOptions options={})