RandLib 2.0.0
Probability distributions, fitting, and heavy-tail tools for C++20
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randlib::AsymmetricLaplaceDistribution< RealType > Class Template Reference

The AsymmetricLaplaceDistribution class
Abstract parent class for general Laplace and Asymmetric Laplace distributions. More...

#include <laplace.hpp>

Inheritance diagram for randlib::AsymmetricLaplaceDistribution< RealType >:
Collaboration diagram for randlib::AsymmetricLaplaceDistribution< RealType >:

Public Member Functions

 AsymmetricLaplaceDistribution (double shift=0, double scale=1, double asymmetry=1)
 
void SetScale (double scale)
 
double GetAsymmetry () const noexcept
 
double f (const RealType &x) const override
 
double logf (const RealType &x) const override
 
double F (const RealType &x) const override
 
double S (const RealType &x) const override
 
template<std::uniform_random_bit_generator G>
RealType operator() (G &g) const
 
long double Entropy () const
 
void FitScale (std::span< const RealType > sample)
 
- Public Member Functions inherited from randlib::GeneralGeometricStableDistribution< RealType >
virtual ~GeneralGeometricStableDistribution ()
 
double GetExponent () const noexcept
 
double GetSkewness () const noexcept
 
double GetScale () const noexcept
 
double GetLogScale () const noexcept
 
Support SupportType () const override
 
RealType MinValue () const override
 
RealType MaxValue () const override
 
double f (const RealType &x) const override
 
double logf (const RealType &x) const override
 
double F (const RealType &x) const override
 
template<std::uniform_random_bit_generator G>
RealType operator() (G &g) const
 
long double Mean () const override
 
long double Variance () const override
 
RealType Median () const override
 
RealType Mode () const override
 Mode is the value, which has the largest probability to happen, or, in the case of continuous distribution, has the largest value of density function.
 
long double Skewness () const override
 
long double ExcessKurtosis () const override
 
- Public Member Functions inherited from randlib::ContinuousDistribution< RealType >
virtual ~ContinuousDistribution ()
 
void ProbabilityDensityFunction (std::span< const RealType > x, std::span< double > y) const
 fill vector y with f(x)
 
void LogProbabilityDensityFunction (std::span< const RealType > x, std::span< double > y) const
 fill vector y with logf(x)
 
double Hazard (const RealType &x) const override
 
double LikelihoodFunction (std::span< const RealType > sample) const override
 
double LogLikelihoodFunction (std::span< const RealType > sample) const override
 
bool KolmogorovSmirnovTest (std::span< const RealType > orderStatistic, double alpha) const
 
- Public Member Functions inherited from randlib::UnivariateDistribution< RealType >
virtual ~UnivariateDistribution ()
 
bool isLeftBounded () const
 
bool isRightBounded () const
 
RealType Quantile (double p) const
 
RealType Quantile1m (double p) const
 
void QuantileFunction (std::span< const double > p, std::span< RealType > y) const
 
void QuantileFunction1m (std::span< const double > p, std::span< RealType > y) const
 
std::complex< double > CF (double t) const
 
void CharacteristicFunction (std::span< const double > t, std::span< std::complex< double > > y) const
 
void HazardFunction (std::span< const RealType > x, std::span< double > y) const
 
virtual long double Kurtosis () const
 
virtual long double SecondMoment () const
 
virtual long double ThirdMoment () const
 
virtual long double FourthMoment () const
 
- Public Member Functions inherited from randlib::ProbabilityDistribution< T >
virtual ~ProbabilityDistribution ()=default
 
virtual std::string Name () const =0
 
virtual double F (const T &x) const =0
 
void CumulativeDistributionFunction (std::span< const T > x, std::span< double > y) const
 
virtual double S (const T &x) const
 
void SurvivalFunction (std::span< const T > x, std::span< double > y) const
 
template<std::uniform_random_bit_generator G>
T operator() (G &g) const
 Draws a variate with the given engine through the virtual interface.
 
T Variate () const
 Uses the engine of this object, so it is not thread-safe for one object; use operator() with one engine per thread instead.
 
void Sample (std::span< T > outputData) const
 Fills the output with variates drawn with the engine of this object.
 
template<std::uniform_random_bit_generator G>
void Sample (G &g, std::span< T > outputData) const
 Fills the output with variates drawn with the given engine.
 
void Reseed (std::uint64_t seed)
 

Protected Member Functions

void ChangeLocation ()
 
- Protected Member Functions inherited from randlib::GeneralGeometricStableDistribution< RealType >
 GeneralGeometricStableDistribution (double exponent, double skewness, double scale=1.0, double location=0.0, double shift=0.0)
 log(κ)
 
void SetParameters (double exponent, double skewness, double scale=1.0, double location=0.0, double shift=0.)
 
void SetLocation (double location)
 
void SetShift (double shift)
 
void SetScale (double scale)
 
void SetAsymmetry (double asymmetry)
 
double pdfLaplace (double x) const
 
double logpdfLaplace (double x) const
 
double cdfLaplace (double x) const
 
double cdfLaplaceCompl (double x) const
 
RealType quantileLaplace (double p) const
 
RealType quantileLaplace1m (double p) const
 
RealType searchTailQuantile (double p, bool upperTail) const
 Quantile search that starts far tails from their power-law asymptote.
 
RealType quantileImpl (double p) const override
 
RealType quantileImpl1m (double p) const override
 
std::complex< double > CFImpl (double t) const override
 
- Protected Member Functions inherited from randlib::ContinuousDistribution< RealType >
 ContinuousDistribution ()
 
std::complex< double > integrateCharacteristicFunction (double t) const
 
RealType quantileImpl (double p, RealType initValue) const override
 
RealType quantileImpl1m (double p, RealType initValue) const override
 
long double ExpectedValue (const std::function< double(RealType)> &funPtr, RealType minPoint, RealType maxPoint) const override
 
RealType searchQuantile (double p, bool upperTail, RealType guess, double relativeStep=1e-3) const
 Deterministic root search for the quantile: brackets the root, starting from the guess when it is finite, then refines it with the Illinois variant of regula falsi (on a logarithmic scale for small p), falling back to bisection whenever the bracket does not halve.
 
- Protected Member Functions inherited from randlib::UnivariateDistribution< RealType >
 UnivariateDistribution ()
 
- Protected Member Functions inherited from randlib::ProbabilityDistribution< T >
std::string toStringWithPrecision (const double a_value, const int n=6) const
 
 ProbabilityDistribution ()=default
 
DefaultEngine & engine () const
 
virtual void sample (detail::EngineRef g, std::span< T > outputData) const
 Fills the output with variate(g); distributions with a faster bulk algorithm override it.
 
fit_error fitError (FitErrorCode code, const std::string &explanation) const
 

Additional Inherited Members

- Public Types inherited from randlib::ProbabilityDistribution< T >
using value_type = T
 
- Static Public Member Functions inherited from randlib::UnivariateDistribution< RealType >
static long double GetSampleSum (std::span< const RealType > sample)
 
static long double GetSampleMean (std::span< const RealType > sample)
 
static long double GetSampleLogMean (std::span< const RealType > sample)
 
static long double GetSampleVariance (std::span< const RealType > sample, double mean)
 
static long double GetSampleLogVariance (std::span< const RealType > sample, double logMean)
 
static LongDoublePair GetSampleMeanAndVariance (std::span< const RealType > sample)
 
static LongDoublePair GetSampleLogMeanAndVariance (std::span< const RealType > sample)
 
static std::tuple< long double, long double, long double, long double > GetSampleStatistics (std::span< const RealType > sample)
 
- Protected Types inherited from randlib::GeneralGeometricStableDistribution< RealType >
enum  DISTRIBUTION_TYPE {
  LAPLACE , ASYMMETRIC_LAPLACE , CAUCHY , LEVY ,
  UNITY_EXPONENT , ONEHALF_EXPONENT , GENERAL
}
 
- Static Protected Member Functions inherited from randlib::UnivariateDistribution< RealType >
static bool allElementsAreNotGreaterThan (RealType value, std::span< const RealType > sample)
 
static bool allElementsAreNotSmallerThan (RealType value, std::span< const RealType > sample)
 
static bool allElementsAreNonNegative (std::span< const RealType > sample)
 
static bool allElementsArePositive (std::span< const RealType > sample)
 
- Protected Attributes inherited from randlib::GeneralGeometricStableDistribution< RealType >
double alpha = 2
 characteristic exponent α
 
double alphaInv = 0.5
 
double beta = 0
 1/α
 
double mu = 0
 location μ
 
double m = 0
 shift m
 
double gamma = randlib::consts::sqrt2
 scale γ
 
double logGamma = 0.5 * randlib::consts::ln2
 log(γ)
 
double kappa = 1
 parameters for α = 2
 
double kappaInv = 1
 1 / κ
 
double kappaSq = 1
 κ^2
 
double log1pKappaSq = randlib::consts::ln2
 log(1 + κ^2)
 
double logKappa = 0
 
DISTRIBUTION_TYPE distributionType = LAPLACE
 type of distribution (Laplace by default)
 
- Static Protected Attributes inherited from randlib::ProbabilityDistribution< T >
static constexpr size_t MAX_ITER_REJECTION = detail::MAX_ITER_REJECTION
 MAX_ITER_REJECTION upper boundary for maximum amount of iterations in rejection methods one thousand should be enough to be sure there is a bug (or rejection method is too slow to be used)
 
static constexpr char POSITIVITY_VIOLATION [] = "All elements should be positive"
 
static constexpr char NON_NEGATIVITY_VIOLATION [] = "All elements should be non-negative"
 
static constexpr char UPPER_LIMIT_VIOLATION [] = "No element should be greater than "
 
static constexpr char LOWER_LIMIT_VIOLATION [] = "No element should be smaller than "
 

Detailed Description

template<typename RealType>
class randlib::AsymmetricLaplaceDistribution< RealType >

The AsymmetricLaplaceDistribution class
Abstract parent class for general Laplace and Asymmetric Laplace distributions.

Constructor & Destructor Documentation

◆ AsymmetricLaplaceDistribution()

template<typename RealType >
randlib::AsymmetricLaplaceDistribution< RealType >::AsymmetricLaplaceDistribution ( double  shift = 0,
double  scale = 1,
double  asymmetry = 1 
)

Member Function Documentation

◆ ChangeLocation()

template<typename RealType >
void randlib::AsymmetricLaplaceDistribution< RealType >::ChangeLocation ( )
protected

◆ Entropy()

template<typename RealType >
long double randlib::AsymmetricLaplaceDistribution< RealType >::Entropy ( ) const

◆ f()

template<typename RealType >
double randlib::AsymmetricLaplaceDistribution< RealType >::f ( const RealType &  x) const
overridevirtual
Parameters
x
Returns
probability density function

Reimplemented from randlib::ContinuousDistribution< RealType >.

◆ F()

template<typename RealType >
double randlib::AsymmetricLaplaceDistribution< RealType >::F ( const RealType &  x) const
override

◆ FitScale()

template<typename RealType >
void randlib::AsymmetricLaplaceDistribution< RealType >::FitScale ( std::span< const RealType >  sample)

◆ GetAsymmetry()

template<typename RealType >
double randlib::AsymmetricLaplaceDistribution< RealType >::GetAsymmetry ( ) const
inlinenoexcept

◆ logf()

template<typename RealType >
double randlib::AsymmetricLaplaceDistribution< RealType >::logf ( const RealType &  x) const
overridevirtual
Parameters
x
Returns
logarithm of probability density function

Implements randlib::ContinuousDistribution< RealType >.

◆ operator()()

template<typename RealType >
template<std::uniform_random_bit_generator G>
RealType randlib::AsymmetricLaplaceDistribution< RealType >::operator() ( G &  g) const

◆ S()

template<typename RealType >
double randlib::AsymmetricLaplaceDistribution< RealType >::S ( const RealType &  x) const
override

◆ SetScale()

template<typename RealType >
void randlib::AsymmetricLaplaceDistribution< RealType >::SetScale ( double  scale)

The documentation for this class was generated from the following file: