Here is a list of all documented functions with links to the class documentation for each member:

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- c -

• capacity() : Emrys::MixtureParams< Component_, Allocator_ >, Emrys::ParticleSet< Space_, Scalar_, Allocator_ >
• cardinality() : Emrys::Categorical< Space_, Scalar_ >, Emrys::CategoricalParams< Space_, Scalar_ >, Emrys::DiscreteProduct< Axes >, Emrys::Named< Values >
• carry() : Emrys::MixtureLineage< Scalar_, Allocator_ >
• CategoricalHistory() : Emrys::CategoricalHistory< Space_, Scalar_, Allocator_ >
• CategoricalParams() : Emrys::CategoricalParams< Space_, Scalar_ >
• cell() : Emrys::GridGaussianParams< Grid_, Covariance_, Component_ >
• cellCovariance() : Emrys::PointGrid< Space_, Path_, Cells_, CellCovariance_, Scalar_, Allocator_ >
• cells() : Emrys::GridGaussianParams< Grid_, Covariance_, Component_ >, Emrys::PointGrid< Space_, Path_, Cells_, CellCovariance_, Scalar_, Allocator_ >, Emrys::RbPointMassFilterUpdate< Scalar, Allocator >
• center() : Emrys::GridGaussianParams< Grid_, Covariance_, Component_ >, Emrys::PointGrid< Space_, Path_, Cells_, CellCovariance_, Scalar_, Allocator_ >
• centers() : Emrys::PointGrid< Space_, Path_, Cells_, CellCovariance_, Scalar_, Allocator_ >
• chain() : Emrys::HiddenMarkovFilter< Space_, Chain_, Scalar_, Upkeep_ >, Emrys::SwitchingModel< ModeSpace_, Scalar_, Path_, Models >
• chiSquared() : Emrys::Gamma< Space_, Scalar_ >
• clear() : Emrys::CategoricalHistory< Space_, Scalar_, Allocator_ >, Emrys::GaussianHistory< Space_, Scalar_, Allocator_ >, Emrys::GaussianMixtureHistory< Space_, Scalar_, Allocator_ >, Emrys::HybridGaussianHistory< Space_, ModeSpace_, Scalar_, Allocator_ >, Emrys::MixtureParams< Component_, Allocator_ >, Emrys::ParticleHistory< Space_, Scalar_, Allocator_ >, Emrys::ParticleSet< Space_, Scalar_, Allocator_ >
• clearBandwidth() : Emrys::ParticleSet< Space_, Scalar_, Allocator_ >
• coefficientsOf() : Emrys::UnitQuaternion
• collapse() : Emrys::ComponentTraits< GaussianParams< Space_, Scalar_ > >, Emrys::ComponentTraits< HybridParams< Component_, ModeSpace_, Allocator_ > >, Emrys::ComponentTraits< SqrtGaussianParams< Space_, Scalar_ > >, Emrys::Hybrid< Component_, ModeSpace_, Allocator_ >
• collapsed() : Emrys::GridGaussian< Grid_, Covariance_, Component_ >, Emrys::Hybrid< Component_, ModeSpace_, Allocator_ >, Emrys::Mixture< Component_, Allocator_ >, Emrys::ParticleGaussian< Space_, Path_, Covariance_, Scalar_, Allocator_, Component_ >
• collapseModes() : Emrys::ComponentTraits< HybridParams< Component_, ModeSpace_, Allocator_ > >
• colorNormals() : Emrys::FormGaussian< Params_ >
• Columns() : Emrys::Columns< Placed >
• combine() : Emrys::GroundMetric< Space_, Scalar_ >
• component() : Emrys::MixtureParams< Component_, Allocator_ >::MutableEntry
• Composite() : Emrys::Composite< Blocks >
• Composition() : Emrys::Composition< Models >
• computeGains() : Emrys::GaussianMixtureHistory< Space_, Scalar_, Allocator_ >::Step, Emrys::HybridGaussianHistory< Space_, ModeSpace_, Scalar_, Allocator_ >::Step
• conditional() : Emrys::Categorical< Space_, Scalar_ >, Emrys::CategoricalParams< Space_, Scalar_ >, Emrys::Gamma< Space_, Scalar_ >, Emrys::Gaussian< Space_, Scalar_ >, Emrys::GaussianParams< Space_, Scalar_ >, Emrys::GridGaussian< Grid_, Covariance_, Component_ >, Emrys::GridGaussianParams< Grid_, Covariance_, Component_ >, Emrys::Hybrid< Component_, ModeSpace_, Allocator_ >, Emrys::HybridParams< Component_, ModeSpace_, Allocator_ >, Emrys::InfoGaussianParams< Space_, Scalar_ >, Emrys::Mixture< Component_, Allocator_ >, Emrys::MixtureParams< Component_, Allocator_ >, Emrys::ParticleGaussian< Space_, Path_, Covariance_, Scalar_, Allocator_, Component_ >, Emrys::ParticleGaussianParams< Space_, Path_, Covariance_, Scalar_, Allocator_, Component_ >, Emrys::ParticleSet< Space_, Scalar_, Allocator_ >, Emrys::Product< Space_, Scalar_, Factors_ >, Emrys::SqrtInfoGaussianParams< Space_, Scalar_ >, Emrys::StudentT< Space_, Scalar_ >, Emrys::Uniform< Space_, Scalar_ >
• conditionalWithEvidence() : Emrys::Gaussian< Space_, Scalar_ >, Emrys::GaussianParams< Space_, Scalar_ >
• confidence() : Emrys::FormGaussian< Params_ >, Emrys::Gaussian< Space_, Scalar_ >
• Constant() : Emrys::Constant< Path >
• contains() : Emrys::FormGaussian< Params_ >, Emrys::Gaussian< Space_, Scalar_ >, Emrys::Uniform< Space_, Scalar_ >
• ContinuousNoise() : Emrys::ContinuousNoise< Parts >
• ContinuousTimeMarkovChain() : Emrys::ContinuousTimeMarkovChain< Space_, Scalar_ >
• coordinates() : Emrys::DiscreteProduct< Axes >
• copy() : Emrys::GaussianMarginal< Source, Selection, SubSpace >, Emrys::MixtureMarginal< Source, Selection, SubSpace >, Emrys::ParticleSetMarginal< Source, Selection, SubSpace >
• count() : Emrys::EachRepetition< F, BlockSpace >, Emrys::MixtureLineage< Scalar_, Allocator_ >, Emrys::PoissonEmission< Space, Scalar_ >, Emrys::Repeated< Block, MaxCount_ >
• counts() : Emrys::UniformGrid< Space_, Scalar_ >
• covariance() : Emrys::Gaussian< Space_, Scalar_ >, Emrys::GaussianMarginal< Source, Selection, SubSpace >, Emrys::GaussianParams< Space_, Scalar_ >, Emrys::InfoGaussianParams< Space_, Scalar_ >, Emrys::PosteriorCramerRaoBound< Space_, Scalar_ >, Emrys::SqrtGaussianParams< Space_, Scalar_ >, Emrys::SqrtInfoGaussianParams< Space_, Scalar_ >
• covarianceLower() : Emrys::Gaussian< Space_, Scalar_ >, Emrys::GaussianMarginal< Source, Selection, SubSpace >, Emrys::GaussianParams< Space_, Scalar_ >, Emrys::Innovation< Space, Scalar >, Emrys::MixtureParams< Component_, Allocator_ >::MutableEntry, Emrys::Moments< Space_, Scalar_ >
• covarianceRoot() : Emrys::GaussianMarginal< Source, Selection, SubSpace >, Emrys::GaussianParams< Space_, Scalar_ >, Emrys::InfoGaussianParams< Space_, Scalar_ >, Emrys::SqrtGaussianParams< Space_, Scalar_ >, Emrys::SqrtInfoGaussianParams< Space_, Scalar_ >
• covarianceUpdate() : Emrys::Observed< Method, Model, Observation, Args >
• create() : Emrys::Gamma< Space_, Scalar_ >, Emrys::PosteriorCramerRaoBound< Space_, Scalar_ >, Emrys::StudentT< Space_, Scalar_ >, Emrys::Uniform< Space_, Scalar_ >
• crossCovariance() : Emrys::OutputWithCross< InputSpace, OutputSpace, Form, Scalar >