This is the complete list of members for muq::Modeling::InverseGamma, including all inherited members.
alpha | muq::Modeling::InverseGamma | |
ApplyLogDensityHessian(unsigned int const inWrt1, unsigned int const inWrt2, ref_vector< Eigen::VectorXd > const &input, Eigen::VectorXd const &vec) | muq::Modeling::Distribution | virtual |
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::InverseGamma | |
ComputeConstant(Eigen::VectorXd const &alphaIn, Eigen::VectorXd const &betaIn) | muq::Modeling::InverseGamma | privatestatic |
Distribution(unsigned int varSizeIn, Eigen::VectorXi const &hyperSizesIn=Eigen::VectorXi()) | muq::Modeling::Distribution | inline |
GradLogDensity(unsigned int wrt, std::vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | inlinevirtual |
GradLogDensity(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | virtual |
GradLogDensity(unsigned int wrt, Args... args) | muq::Modeling::Distribution | inline |
GradLogDensity(unsigned int wrt, ref_vector< Eigen::VectorXd > &inputs, Eigen::VectorXd const &in, Args... args) | muq::Modeling::Distribution | inlineprivate |
GradLogDensityImpl(unsigned int wrt, ref_vector< Eigen::VectorXd > const &inputs) | muq::Modeling::Distribution | protectedvirtual |
hyperSizes | muq::Modeling::Distribution | |
InverseGamma(double alphaIn, double betaIn) | muq::Modeling::InverseGamma | |
InverseGamma(Eigen::VectorXd const &alphaIn, Eigen::VectorXd const &betaIn) | muq::Modeling::InverseGamma | |
logConst | muq::Modeling::InverseGamma | 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::InverseGamma | 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::InverseGamma | 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 |
~InverseGamma()=default | muq::Modeling::InverseGamma | virtual |