| allElementsAreNonNegative(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | protectedstatic |
| allElementsAreNotGreaterThan(IntType value, std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | protectedstatic |
| allElementsAreNotSmallerThan(IntType value, std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | protectedstatic |
| allElementsArePositive(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | protectedstatic |
| CF(double t) const | randlib::UnivariateDistribution< IntType > | |
| CharacteristicFunction(std::span< const double > t, std::span< std::complex< double > > y) const | randlib::UnivariateDistribution< IntType > | |
| CumulativeDistributionFunction(std::span< const T > x, std::span< double > y) const | randlib::ProbabilityDistribution< T > | |
| DiscreteDistribution() | randlib::DiscreteDistribution< IntType > | inlineprotected |
| engine() const | randlib::ProbabilityDistribution< T > | inlineprotected |
| ExcessKurtosis() const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| ExpectedValue(const std::function< double(IntType)> &funPtr, IntType minPoint, IntType maxPoint) const override | randlib::DiscreteDistribution< IntType > | protectedvirtual |
| EXPONENTIAL enum value | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| F(const IntType &k) const override | randlib::NegativeBinomialDistribution< IntType, T > | |
| randlib::DiscreteDistribution::F(const T &x) const =0 | randlib::ProbabilityDistribution< T > | pure virtual |
| Fit(std::span< const IntType > sample) | randlib::NegativeBinomialRand< IntType, T > | |
| fitError(FitErrorCode code, const std::string &explanation) const | randlib::ProbabilityDistribution< T > | protected |
| FitProbabilityBayes(std::span< const IntType > sample, const BetaDistribution<> &priorDistribution, bool MAP=false) | randlib::NegativeBinomialDistribution< IntType, T > | |
| FourthMoment() const | randlib::UnivariateDistribution< IntType > | virtual |
| GAMMA_POISSON enum value | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| GENERATOR_ID enum name | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| GetIdOfUsedGenerator() const | randlib::NegativeBinomialDistribution< IntType, T > | inlineprotected |
| GetNumber() const noexcept | randlib::NegativeBinomialDistribution< IntType, T > | inline |
| GetProbability() const noexcept | randlib::NegativeBinomialDistribution< IntType, T > | inline |
| GetSampleLogMean(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleLogMeanAndVariance(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleLogVariance(std::span< const IntType > sample, double logMean) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleMean(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleMeanAndVariance(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleStatistics(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleSum(std::span< const IntType > sample) | randlib::UnivariateDistribution< IntType > | static |
| GetSampleVariance(std::span< const IntType > sample, double mean) | randlib::UnivariateDistribution< IntType > | static |
| Hazard(const IntType &x) const override | randlib::DiscreteDistribution< IntType > | virtual |
| HazardFunction(std::span< const IntType > x, std::span< double > y) const | randlib::UnivariateDistribution< IntType > | |
| isLeftBounded() const | randlib::UnivariateDistribution< IntType > | |
| isRightBounded() const | randlib::UnivariateDistribution< IntType > | |
| Kurtosis() const | randlib::UnivariateDistribution< IntType > | virtual |
| LikelihoodFunction(std::span< const IntType > sample) const override | randlib::DiscreteDistribution< IntType > | virtual |
| log1mProb | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| LogLikelihoodFunction(std::span< const IntType > sample) const override | randlib::DiscreteDistribution< IntType > | virtual |
| logP(const IntType &k) const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| logProb | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| LogProbabilityMassFunction(std::span< const IntType > x, std::span< double > y) const | randlib::DiscreteDistribution< IntType > | |
| LOWER_LIMIT_VIOLATION | randlib::ProbabilityDistribution< T > | protectedstatic |
| MAX_ITER_REJECTION | randlib::ProbabilityDistribution< T > | protectedstatic |
| MaxValue() const override | randlib::NegativeBinomialDistribution< IntType, T > | inlinevirtual |
| Mean() const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| Median() const | randlib::UnivariateDistribution< IntType > | virtual |
| MinValue() const override | randlib::NegativeBinomialDistribution< IntType, T > | inlinevirtual |
| Mode() const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| Name() const override | randlib::NegativeBinomialRand< IntType, T > | virtual |
| NegativeBinomialDistribution(T number=1, double probability=0.5) | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| NegativeBinomialRand(T number=1, double probability=0.5) | randlib::NegativeBinomialRand< IntType, T > | inline |
| NON_NEGATIVITY_VIOLATION | randlib::ProbabilityDistribution< T > | protectedstatic |
| operator()(G &g) const | randlib::NegativeBinomialDistribution< IntType, T > | |
| p | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| P(const IntType &k) const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| PearsonChiSquaredTest(std::span< const IntType > orderStatistic, double alpha, int lowerBoundary, int upperBoundary, size_t numberOfEstimatedParameters=0) const | randlib::DiscreteDistribution< IntType > | |
| PearsonChiSquaredTest(std::span< const IntType > orderStatistic, double alpha, size_t numberOfEstimatedParameters=0) const | randlib::DiscreteDistribution< IntType > | |
| POSITIVITY_VIOLATION | randlib::ProbabilityDistribution< T > | protectedstatic |
| ProbabilityDistribution()=default | randlib::ProbabilityDistribution< T > | protected |
| ProbabilityMassFunction(std::span< const IntType > x, std::span< double > y) const | randlib::DiscreteDistribution< IntType > | |
| q | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| Quantile(double p) const | randlib::UnivariateDistribution< IntType > | |
| Quantile1m(double p) const | randlib::UnivariateDistribution< IntType > | |
| QuantileFunction(std::span< const double > p, std::span< IntType > y) const | randlib::UnivariateDistribution< IntType > | |
| QuantileFunction1m(std::span< const double > p, std::span< IntType > y) const | randlib::UnivariateDistribution< IntType > | |
| quantileImpl(double p, IntType initValue) const override | randlib::DiscreteDistribution< IntType > | protectedvirtual |
| quantileImpl(double p) const override | randlib::DiscreteDistribution< IntType > | protectedvirtual |
| quantileImpl1m(double p, IntType initValue) const override | randlib::DiscreteDistribution< IntType > | protectedvirtual |
| quantileImpl1m(double p) const override | randlib::DiscreteDistribution< IntType > | protectedvirtual |
| Reseed(std::uint64_t seed) | randlib::ProbabilityDistribution< T > | inline |
| S(const IntType &k) const override | randlib::NegativeBinomialDistribution< IntType, T > | |
| randlib::DiscreteDistribution::S(const T &x) const | randlib::ProbabilityDistribution< T > | virtual |
| randlib::DiscreteDistribution::sample(detail::EngineRef g, std::span< T > outputData) const | randlib::ProbabilityDistribution< T > | inlineprotectedvirtual |
| Sample(std::span< T > outputData) const | randlib::ProbabilityDistribution< T > | inline |
| Sample(G &g, std::span< T > outputData) const | randlib::ProbabilityDistribution< T > | inline |
| SecondMoment() const | randlib::UnivariateDistribution< IntType > | virtual |
| SetParameters(T number, double probability) | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| Skewness() const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| SupportType() const override | randlib::NegativeBinomialDistribution< IntType, T > | inlinevirtual |
| SurvivalFunction(std::span< const T > x, std::span< double > y) const | randlib::ProbabilityDistribution< T > | |
| TABLE enum value | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| ThirdMoment() const | randlib::UnivariateDistribution< IntType > | virtual |
| TOO_SMALL_VARIANCE | randlib::NegativeBinomialRand< IntType, T > | static |
| toStringWithPrecision(const double a_value, const int n=6) const | randlib::ProbabilityDistribution< T > | protected |
| UnivariateDistribution() | randlib::UnivariateDistribution< IntType > | protected |
| UPPER_LIMIT_VIOLATION | randlib::ProbabilityDistribution< T > | protectedstatic |
| value_type typedef | randlib::ProbabilityDistribution< T > | |
| Variance() const override | randlib::NegativeBinomialDistribution< IntType, T > | virtual |
| Variate() const | randlib::ProbabilityDistribution< T > | inline |
| variateGeometricByTable(G &g) const | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| variateGeometricThroughExponential(G &g) const | randlib::NegativeBinomialDistribution< IntType, T > | protected |
| ~DiscreteDistribution() | randlib::DiscreteDistribution< IntType > | inlinevirtual |
| ~ProbabilityDistribution()=default | randlib::ProbabilityDistribution< T > | virtual |
| ~UnivariateDistribution() | randlib::UnivariateDistribution< IntType > | inlinevirtual |
1.9.8