This is the complete list of members for muq::Modeling::Gamma, including all inherited members.
| alpha | muq::Modeling::Gamma | |
| ApplyLogDensityHessian(unsigned int const inWrt1, unsigned int const inWrt2, ref_vector< Eigen::VectorXd > const &input, Eigen::VectorXd const &vec) override | muq::Modeling::Gamma | privatevirtual |
| muq::Modeling::Distribution::ApplyLogDensityHessian(unsigned int const inWrt1, unsigned int const inWrt2, std::vector< Eigen::VectorXd > const &input, Eigen::VectorXd const &vec) | muq::Modeling::Distribution | inlinevirtual |
| ApplyLogDensityHessianImpl(unsigned int wrt1, unsigned int wrt2, ref_vector< Eigen::VectorXd > const &inputs, Eigen::VectorXd const &vec) | muq::Modeling::Distribution | protectedvirtual |
| AsDensity() | muq::Modeling::Distribution | |
| AsVariable() | muq::Modeling::Distribution | |
| beta | muq::Modeling::Gamma | |
| ComputeConstant(Eigen::VectorXd const &alphaIn, Eigen::VectorXd const &betaIn) | muq::Modeling::Gamma | privatestatic |
| Distribution(unsigned int varSizeIn, Eigen::VectorXi const &hyperSizesIn=Eigen::VectorXi()) | muq::Modeling::Distribution | inline |
| FromMoments(Eigen::VectorXd const &mean, Eigen::VectorXd const &var) | muq::Modeling::Gamma | static |
| Gamma(double alphaIn, double betaIn) | muq::Modeling::Gamma | |
| Gamma(Eigen::VectorXd const &alphaIn, Eigen::VectorXd const &betaIn) | muq::Modeling::Gamma | |
| GradLogDensity(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs) override | muq::Modeling::Gamma | privatevirtual |
| muq::Modeling::Distribution::GradLogDensity(unsigned int wrt, std::vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | inlinevirtual |
| muq::Modeling::Distribution::GradLogDensity(unsigned int wrt, Args... args) | muq::Modeling::Distribution | inline |
| GradLogDensityImpl(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | protectedvirtual |
| hyperSizes | muq::Modeling::Distribution | |
| logConst | muq::Modeling::Gamma | private |
| LogDensity(ref_vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | virtual |
| LogDensity(std::vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | inlinevirtual |
| LogDensityImpl(ref_vector< Eigen::VectorXd > const &inputs) override | muq::Modeling::Gamma | privatevirtual |
| Sample(ref_vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | |
| Sample(std::vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | inline |
| Sample() | muq::Modeling::Distribution | |
| SampleImpl(ref_vector< Eigen::VectorXd > const &inputs) override | muq::Modeling::Gamma | privatevirtual |
| ToRefVector(std::vector< Eigen::VectorXd > const &anyVec) const | muq::Modeling::Distribution | protected |
| VARIADIC_TO_REFVECTOR(LogDensity, Eigen::VectorXd, double) | muq::Modeling::Distribution | |
| VARIADIC_TO_REFVECTOR(Sample, Eigen::VectorXd, Eigen::VectorXd) | muq::Modeling::Distribution | |
| varSize | muq::Modeling::Distribution | |
| ~Distribution()=default | muq::Modeling::Distribution | virtual |
| ~Gamma()=default | muq::Modeling::Gamma | virtual |