- Callback - Interface in blang.mcmc.internals
-
- callR(File, String) - Method in class blang.runtime.internals.DefaultPostProcessor
-
- cat - Variable in class blang.validation.internals.fixtures.Examples
-
- Categorical - Class in blang.distributions
-
- Categorical(IntVar, Supplier<Simplex>) - Constructor for class blang.distributions.Categorical
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- categorical(Random, double[]) - Static method in class blang.distributions.Generators
-
- Categorical.$generated__0_class - Class in blang.distributions
-
- Categorical.Builder - Class in blang.distributions
-
- CategoricalSampler - Class in blang.mcmc
-
- CategoricalSampler() - Constructor for class blang.mcmc.CategoricalSampler
-
- Categories - Class in blang.runtime.internals.doc
-
- cauchy - Variable in class blang.validation.internals.fixtures.Examples
-
- chain - Variable in class blang.validation.internals.fixtures.MarkovChain.Builder
-
- check(GraphAnalysis) - Method in class blang.engines.internals.factories.Exact
-
- check(GraphAnalysis) - Method in class blang.engines.internals.factories.Forward
-
- check(GraphAnalysis) - Method in class blang.engines.internals.factories.None
-
- check(GraphAnalysis) - Method in class blang.engines.internals.factories.PT
-
- check(GraphAnalysis) - Method in class blang.engines.internals.factories.SCM
-
- check(GraphAnalysis) - Method in interface blang.engines.internals.PosteriorInferenceEngine
-
- check - Static variable in class blang.runtime.SampledModel
-
- check(Instance<?>) - Method in class blang.validation.DeterminismTest
-
- check() - Method in class blang.validation.ExactInvarianceTest
-
- check(double) - Method in class blang.validation.ExactInvarianceTest
-
- checkDAG() - Method in class blang.runtime.internals.objectgraph.GraphAnalysis
-
- checkDirichletOrBetaParam(double) - Static method in class blang.distributions.internals.Helpers
-
- checkInvariance() - Method in class blang.validation.DiscreteMCTest
-
Check if each individual kernel is pi invariant.
- checkIrreducibility() - Method in class blang.validation.DiscreteMCTest
-
Check that the mixture of all kernels is irreducible.
- checkIsDAG - Variable in class blang.runtime.Runner
-
- checkLawsGenerateAgreement - Variable in class blang.engines.internals.factories.Exact
-
- checkNormalization(UnivariateModel<RealVar>) - Method in class blang.validation.NormalizationTest
-
- checkNormalization(UnivariateModel<RealVar>, double, double) - Method in class blang.validation.NormalizationTest
-
- checkOkToUseDefectiveImplementation() - Static method in class blang.validation.internals.Helpers
-
Add a call to this in the constructor/method of interest of intentionally incorrect fixtures
- checkStateSpaceSize(int) - Method in class blang.validation.DiscreteMCTest
-
- ChiSquared - Class in blang.distributions
-
- ChiSquared(RealVar, Supplier<IntVar>) - Constructor for class blang.distributions.ChiSquared
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- chisquared(Random, int) - Static method in class blang.distributions.Generators
-
- chisquared - Variable in class blang.validation.internals.fixtures.Examples
-
- ChiSquared.$generated__0_class - Class in blang.distributions
-
- ChiSquared.$generated__1_class - Class in blang.distributions
-
- ChiSquared.$generated__2_class - Class in blang.distributions
-
- ChiSquared.Builder - Class in blang.distributions
-
- cholesky() - Method in class blang.types.DenseSimplex
-
- cholesky() - Method in class blang.types.DenseTransitionMatrix
-
- clean(String) - Static method in class blang.runtime.internals.Main
-
- cloner - Static variable in class blang.runtime.internals.objectgraph.DeepCloner
-
- clusterIndicators - Variable in class blang.examples.MixtureModel.Builder
-
- coefficients - Variable in class blang.validation.internals.fixtures.SpikedGLM.Builder
-
- col(int) - Method in class blang.types.DenseSimplex
-
- col(int) - Method in class blang.types.DenseTransitionMatrix
-
- colIndexer(Query) - Method in class blang.types.PlatedMatrix
-
- colPlate() - Method in class blang.types.PlatedMatrix
-
- ColumnName - Class in blang.types.internals
-
Column names for data set read from files or databases.
- ColumnName(String) - Constructor for class blang.types.internals.ColumnName
-
- columnNames() - Method in class blang.io.DataSource
-
- compilationDirName - Variable in class blang.runtime.internals.StandaloneCompiler
-
- compile(File, String) - Static method in class blang.runtime.internals.StandaloneCompiler
-
- compileProject() - Method in class blang.runtime.internals.StandaloneCompiler
-
- components() - Method in class blang.distributions.Bernoulli
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Beta
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.BetaBinomial
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.BetaNegativeBinomial
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Binomial
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Categorical
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.ChiSquared
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.ContinuousUniform
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Dirichlet
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.DiscreteUniform
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Exponential
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.F
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Gamma
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.GammaMeanParam
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Geometric
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Gompertz
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Gumbel
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.HalfStudentT
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.HyperGeometric
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Laplace
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.LnUniform
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Logistic
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.LogLogistic
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.LogPotential
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.LogUniform
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.MultivariateNormal
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.NegativeBinomial
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.NegativeBinomialMeanParam
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Normal
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.NormalField
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Poisson
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.PoissonAllInOne
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.SimplexUniform
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.StudentT
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.SymmetricDirichlet
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.Weibull
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.distributions.YuleSimon
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.examples.MixtureModel
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.testmodel.Cyclic
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.testmodels.GenerateTwice
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.AutoBoxDeboxTests
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.BadNormal
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.BadPlate
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.CustomAnnealRef
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.CustomAnnealTest
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Diffusion
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Doomsday
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.DynamicNormalMixture
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Empty
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.FixedMatrix
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Growth
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.HierarchicalModel
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Ising
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Loop
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.MarkovChain
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Multimodal
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.NoGen
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.NormalFieldExamples
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.NotNormalForm
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Operations
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.PCR
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.PlatedMatrixTests
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.PoissonNormalField
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Scalability
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Simple
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.SimpleHierarchicalModel
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.SmallHMM
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.SometimesNaN
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.SpikeAndSlab
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.SpikedGLM
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.Unid
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- components() - Method in class blang.validation.internals.fixtures.UnspecifiedParam
-
A component can be either a distribution, support constraint, or another model
which recursively defines additional components.
- computeCache(Query.QueryType) - Method in class blang.types.internals.IndexedDataSource
-
- ComputeESS - Class in blang.runtime.internals
-
- ComputeESS() - Constructor for class blang.runtime.internals.ComputeESS
-
- computeEss() - Method in class blang.runtime.internals.ComputeESS
-
- computeEss(File, File) - Method in class blang.runtime.internals.DefaultPostProcessor
-
- ComputeESS.ACT - Class in blang.runtime.internals
-
- ComputeESS.AR - Class in blang.runtime.internals
-
- ComputeESS.Batch - Class in blang.runtime.internals
-
- ComputeESS.EssEstimator - Interface in blang.runtime.internals
-
- computeLogZ(List<Integer>) - Method in class blang.validation.internals.fixtures.ExactHMMCalculations
-
- concentration - Variable in class blang.distributions.SymmetricDirichlet.Builder
-
- concentration - Variable in class blang.examples.MixtureModel.Builder
-
- concentrations - Variable in class blang.distributions.Dirichlet.Builder
-
- concentrations - Variable in class blang.validation.internals.fixtures.DynamicNormalMixture.Builder
-
- concentrationWarningThreshold - Static variable in class blang.distributions.internals.Helpers
-
- CONFIG_FILE_NAME - Static variable in class blang.runtime.Runner
-
- ConnectedFactor - Annotation Type in blang.mcmc
-
An annotation used to specify where and how MCMC samplers
can be applied in a probability models.
- connectedFactors(Node) - Method in class blang.mcmc.internals.SamplerBuilderContext
-
- ConstituentNode<K> - Class in blang.runtime.internals.objectgraph
-
- ConstituentNode(Object, K) - Constructor for class blang.runtime.internals.objectgraph.ConstituentNode
-
- contain(Set<Node>, Object) - Static method in class blang.mcmc.internals.SamplerBuilderContext
-
- container - Variable in class blang.runtime.internals.objectgraph.ConstituentNode
-
- continuousPart - Variable in class blang.types.SpikedRealVar
-
- ContinuousUniform - Class in blang.distributions
-
- ContinuousUniform(RealVar, Supplier<RealVar>, Supplier<RealVar>) - Constructor for class blang.distributions.ContinuousUniform
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- ContinuousUniform.$generated__0_class - Class in blang.distributions
-
- ContinuousUniform.$generated__1_class - Class in blang.distributions
-
- ContinuousUniform.Builder - Class in blang.distributions
-
- contunif - Variable in class blang.validation.internals.fixtures.Examples
-
- correctedPValue() - Method in class blang.validation.ExactInvarianceTest
-
- correspondingVariables - Variable in class blang.mcmc.internals.BuiltSamplers
-
- create(File, String...) - Static method in class blang.runtime.Runner
-
Create, but does not preprocess/sample/postprocess the runner.
- create(M, Function<M, Object>) - Static method in class blang.validation.DiscreteMCTest
-
Simplified method to create a DiscreteMCTest, wrapping around some of the other tedious
constructors.
- CreateBlangGradleProject - Class in blang.runtime.internals
-
- CreateBlangGradleProject() - Constructor for class blang.runtime.internals.CreateBlangGradleProject
-
- createEmpty(int, int) - Method in class blang.types.DenseSimplex
-
- createEmpty(int, int) - Method in class blang.types.DenseTransitionMatrix
-
- createForwardSimulator() - Method in class blang.runtime.internals.objectgraph.GraphAnalysis
-
- createLikelihoodAnnealer() - Method in class blang.runtime.internals.objectgraph.GraphAnalysis
-
Anneal only the factors emitting observed values.
- createLinearSpline(double[], double[]) - Static method in class blang.engines.internals.Spline
-
Creates a linear spline from a given set of control points.
- createMonotoneCubicSpline(double[], double[]) - Static method in class blang.engines.internals.Spline
-
Creates a monotone cubic spline from a given set of control points.
- createPlot(DefaultPostProcessor.GgPlot, File) - Method in class blang.runtime.internals.DefaultPostProcessor
-
- createPlot(DefaultPostProcessor.GgPlot, File, String) - Method in class blang.runtime.internals.DefaultPostProcessor
-
- createSpline(double[], double[]) - Static method in class blang.engines.internals.Spline
-
Creates an appropriate spline based on the properties of the control points.
- CreatingTypes - Class in blang.runtime.internals.doc.contents
-
- CreatingTypes() - Constructor for class blang.runtime.internals.doc.contents.CreatingTypes
-
- CSV - Class in blang.io.internals
-
- CSV() - Constructor for class blang.io.internals.CSV
-
- current - Variable in class blang.validation.internals.fixtures.Growth.Builder
-
- CustomAnnealRef - Class in blang.validation.internals.fixtures
-
- CustomAnnealRef(RealVar, RealVar) - Constructor for class blang.validation.internals.fixtures.CustomAnnealRef
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- CustomAnnealRef.$generated__1_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealRef.$generated__2_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealRef.$generated__4_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealRef.$generated__5_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealRef.Builder - Class in blang.validation.internals.fixtures
-
- CustomAnnealTest - Class in blang.validation.internals.fixtures
-
- CustomAnnealTest(RealVar, RealVar) - Constructor for class blang.validation.internals.fixtures.CustomAnnealTest
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- CustomAnnealTest.$generated__1_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealTest.$generated__2_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealTest.$generated__4_class - Class in blang.validation.internals.fixtures
-
- CustomAnnealTest.Builder - Class in blang.validation.internals.fixtures
-
- cycleTimeStatistics() - Method in class blang.engines.internals.ptanalysis.Paths
-
- Cyclic - Class in blang.testmodel
-
- Cyclic(RealVar, RealVar) - Constructor for class blang.testmodel.Cyclic
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- Cyclic.$generated__1_class - Class in blang.testmodel
-
- Cyclic.$generated__2_class - Class in blang.testmodel
-
- Cyclic.$generated__4_class - Class in blang.testmodel
-
- Cyclic.$generated__5_class - Class in blang.testmodel
-
- Cyclic.Builder - Class in blang.testmodel
-
- d1 - Variable in class blang.distributions.F.Builder
-
- d2 - Variable in class blang.distributions.F.Builder
-
- data - Variable in class blang.validation.internals.fixtures.HierarchicalModel.Builder
-
- data - Variable in class blang.validation.internals.fixtures.SimpleHierarchicalModel.Builder
-
- DataSource - Class in blang.io
-
Description of an optional data source.
- DataSource(Optional<String>) - Constructor for class blang.io.DataSource
-
- dataSource - Variable in class blang.io.internals.GlobalDataSourceStore
-
- DataSourceReader - Interface in blang.io.internals
-
- deepClone(T) - Static method in class blang.runtime.internals.objectgraph.DeepCloner
-
- DeepCloner - Class in blang.runtime.internals.objectgraph
-
- DeepCloner() - Constructor for class blang.runtime.internals.objectgraph.DeepCloner
-
- deepCopyParticles(ParticlePopulation<SampledModel>) - Method in class blang.engines.AdaptiveJarzynski
-
- defaultExplorationRules - Static variable in class blang.runtime.internals.objectgraph.ExplorationRules
-
- DefaultPostProcessor - Class in blang.runtime.internals
-
- DefaultPostProcessor() - Constructor for class blang.runtime.internals.DefaultPostProcessor
-
- DefaultPostProcessor.ACFPlot - Class in blang.runtime.internals
-
- DefaultPostProcessor.DensityPlot - Class in blang.runtime.internals
-
- DefaultPostProcessor.GgPlot - Class in blang.runtime.internals
-
- DefaultPostProcessor.Output - Enum in blang.runtime.internals
-
- DefaultPostProcessor.PMFPlot - Class in blang.runtime.internals
-
- DefaultPostProcessor.TracePlot - Class in blang.runtime.internals
-
- Delegator<T> - Interface in blang.types.internals
-
- DenseSimplex - Class in blang.types
-
Vector of entries summing to one.
- DenseSimplex(DenseMatrix) - Constructor for class blang.types.DenseSimplex
-
- DenseTransitionMatrix - Class in blang.types
-
Matrix where each row is a DenseSimplex.
- DenseTransitionMatrix(DenseMatrix) - Constructor for class blang.types.DenseTransitionMatrix
-
- DensityPlot(File, Map<String, Class<?>>, DefaultPostProcessor) - Constructor for class blang.runtime.internals.DefaultPostProcessor.DensityPlot
-
- derivative(Spline.MonotoneCubicSpline, double) - Static method in class blang.engines.internals.SplineDerivatives
-
- designMatrix - Static variable in class blang.validation.internals.fixtures.Examples
-
- designMatrix - Variable in class blang.validation.internals.fixtures.SpikedGLM.Builder
-
- DeterminismTest - Class in blang.validation
-
- DeterminismTest() - Constructor for class blang.validation.DeterminismTest
-
- Diagonal(RealVar, Plate<K>) - Constructor for class blang.types.Precision.Diagonal
-
- diagonal - Variable in class blang.validation.internals.fixtures.NormalFieldExamples.Builder
-
- diagonal - Variable in class blang.validation.internals.fixtures.PoissonNormalField.Builder
-
- diagonalPrecision(RealVar, Plate<K>) - Static method in class blang.types.StaticUtils
-
- Diffusion - Class in blang.validation.internals.fixtures
-
- Diffusion(List<RealVar>, Supplier<Double>, Supplier<Double>, Supplier<Integer>) - Constructor for class blang.validation.internals.fixtures.Diffusion
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- Diffusion.$generated__1_class - Class in blang.validation.internals.fixtures
-
- Diffusion.$generated__2_class - Class in blang.validation.internals.fixtures
-
- Diffusion.$generated__6_class - Class in blang.validation.internals.fixtures
-
- Diffusion.$generated__7_class - Class in blang.validation.internals.fixtures
-
- Diffusion.Builder - Class in blang.validation.internals.fixtures
-
- dim - Variable in class blang.distributions.SimplexUniform.Builder
-
- dim - Variable in class blang.distributions.SymmetricDirichlet.Builder
-
- dims - Variable in class blang.validation.internals.fixtures.PlatedMatrixTests.Builder
-
- Dirichlet - Class in blang.distributions
-
- Dirichlet(Simplex, Supplier<Matrix>) - Constructor for class blang.distributions.Dirichlet
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- dirichlet(Random, Matrix) - Static method in class blang.distributions.Generators
-
- dirichlet - Variable in class blang.validation.internals.fixtures.Examples
-
- Dirichlet.$generated__0_class - Class in blang.distributions
-
- Dirichlet.$generated__1_class - Class in blang.distributions
-
- Dirichlet.Builder - Class in blang.distributions
-
- dirichlet2 - Variable in class blang.validation.internals.fixtures.Examples
-
- dirichletSymm - Variable in class blang.validation.internals.fixtures.Examples
-
- DiscreteMCTest - Class in blang.validation
-
Tests for invariance and irreducibility when models are
fully discrete and fits in memory.
- DiscreteMCTest(SampledModel, Function<SampledModel, Object>) - Constructor for class blang.validation.DiscreteMCTest
-
- DiscreteMCTest(SampledModel, Function<SampledModel, Object>, boolean) - Constructor for class blang.validation.DiscreteMCTest
-
- DiscreteMCTest(Collection<SampledModel>, Function<SampledModel, Object>) - Constructor for class blang.validation.DiscreteMCTest
-
- DiscreteMCTest(Collection<SampledModel>, Function<SampledModel, Object>, boolean) - Constructor for class blang.validation.DiscreteMCTest
-
- DiscreteUniform - Class in blang.distributions
-
- DiscreteUniform(IntVar, Supplier<IntVar>, Supplier<IntVar>) - Constructor for class blang.distributions.DiscreteUniform
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- discreteUniform(Random, int, int) - Static method in class blang.distributions.Generators
-
- DiscreteUniform.$generated__0_class - Class in blang.distributions
-
- DiscreteUniform.$generated__1_class - Class in blang.distributions
-
- DiscreteUniform.Builder - Class in blang.distributions
-
- discrunif - Variable in class blang.validation.internals.fixtures.Examples
-
- dist1 - Variable in class blang.validation.internals.fixtures.Multimodal.Builder
-
- dist2 - Variable in class blang.validation.internals.fixtures.Multimodal.Builder
-
- distinctPair(Random, int) - Static method in class blang.distributions.Generators
-
- distribution(RealVar) - Static method in class blang.distributions.Bernoulli
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Beta
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar, RealVar, RealVar) - Static method in class blang.distributions.BetaBinomial
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar, RealVar) - Static method in class blang.distributions.BetaNegativeBinomial
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar, RealVar) - Static method in class blang.distributions.Binomial
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Simplex) - Static method in class blang.distributions.Categorical
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar) - Static method in class blang.distributions.ChiSquared
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.ContinuousUniform
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Simplex, Matrix) - Static method in class blang.distributions.Dirichlet
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar, IntVar) - Static method in class blang.distributions.DiscreteUniform
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.distributions.Exponential
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.F
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Gamma
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.GammaMeanParam
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.distributions.Geometric
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Gompertz
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Gumbel
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.HalfStudentT
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar, IntVar, IntVar) - Static method in class blang.distributions.HyperGeometric
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Laplace
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.LnUniform
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Logistic
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.LogLogistic
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar, RealVar) - Static method in class blang.distributions.LogUniform
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Matrix, Matrix, CholeskyDecomposition) - Static method in class blang.distributions.MultivariateNormal
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.NegativeBinomial
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.NegativeBinomialMeanParam
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Normal
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Plated<RealVar>, Precision) - Static method in class blang.distributions.NormalField
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.distributions.Poisson
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.distributions.PoissonAllInOne
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Simplex, Integer) - Static method in class blang.distributions.SimplexUniform
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar, RealVar) - Static method in class blang.distributions.StudentT
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Simplex, Integer, RealVar) - Static method in class blang.distributions.SymmetricDirichlet
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.distributions.Weibull
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.distributions.YuleSimon
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution() - Static method in class blang.testmodels.GenerateTwice
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar, RealVar) - Static method in class blang.validation.internals.fixtures.BadNormal
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(List<RealVar>, Double, Double, int) - Static method in class blang.validation.internals.fixtures.Diffusion
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Matrix) - Static method in class blang.validation.internals.fixtures.FixedMatrix
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(IntVar) - Static method in class blang.validation.internals.fixtures.Growth
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(List<IntVar>, Double, Double, Integer) - Static method in class blang.validation.internals.fixtures.Ising
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(List<IntVar>, Simplex, TransitionMatrix) - Static method in class blang.validation.internals.fixtures.MarkovChain
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealDistribution, RealDistribution) - Static method in class blang.validation.internals.fixtures.Multimodal
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(Plated<RealVar>, Boolean, Plate<Integer>) - Static method in class blang.validation.internals.fixtures.NormalFieldExamples
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(List<IntVar>) - Static method in class blang.validation.internals.fixtures.PCR
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(PlatedMatrix, Plate<Integer>, Plate<String>) - Static method in class blang.validation.internals.fixtures.PlatedMatrixTests
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution() - Static method in class blang.validation.internals.fixtures.Simple
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution() - Static method in class blang.validation.internals.fixtures.SometimesNaN
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(List<SpikedRealVar>, RealVar, RealDistribution) - Static method in class blang.validation.internals.fixtures.SpikeAndSlab
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- distribution(RealVar) - Static method in class blang.validation.internals.fixtures.UnspecifiedParam
-
Returns an instance with fixed parameters values and conforming the Distribution interface.
- div(Number) - Method in class blang.types.DenseSimplex
-
- div(Number) - Method in class blang.types.DenseTransitionMatrix
-
- divInPlace(Number) - Method in class blang.types.DenseSimplex
-
- divInPlace(Number) - Method in class blang.types.DenseTransitionMatrix
-
- dnm - Variable in class blang.validation.internals.fixtures.Examples
-
- Doomsday - Class in blang.validation.internals.fixtures
-
- Doomsday(RealVar, RealVar, Supplier<RealVar>) - Constructor for class blang.validation.internals.fixtures.Doomsday
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- Doomsday.$generated__1_class - Class in blang.validation.internals.fixtures
-
- Doomsday.$generated__3_class - Class in blang.validation.internals.fixtures
-
- Doomsday.$generated__4_class - Class in blang.validation.internals.fixtures
-
- Doomsday.Builder - Class in blang.validation.internals.fixtures
-
- DoubleArrayView - Class in blang.runtime.internals.objectgraph
-
- DoubleArrayView(ImmutableList<Integer>, double[]) - Constructor for class blang.runtime.internals.objectgraph.DoubleArrayView
-
- doubleValue() - Method in class blang.mcmc.internals.SimplexWritableVariable
-
- doubleValue() - Method in class blang.runtime.internals.objectgraph.MatrixConstituentNode
-
- doubleValue() - Method in class blang.types.AnnealingParameter
-
- doubleValue() - Method in class blang.types.internals.RealScalar
-
- doubleValue() - Method in class blang.types.SpikedRealVar
-
- downloadLink - Static variable in class blang.runtime.internals.doc.contents.Home
-
- draw() - Method in class blang.engines.internals.ptanalysis.PathViz
-
- dropForwardSimulator() - Method in class blang.runtime.SampledModel
-
Performance optimization: once the forward simulator
not needed, dropping it speeds up cloning.
- dumpInto(File) - Method in class blang.validation.ExactInvarianceTest.TestResult
-
- duplicate() - Method in class blang.runtime.SampledModel
-
- DynamicNormalMixture - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture(List<RealVar>, List<IntVar>, DenseSimplex, DenseTransitionMatrix, List<RealVar>, List<RealVar>, Supplier<Integer>, Supplier<Matrix>) - Constructor for class blang.validation.internals.fixtures.DynamicNormalMixture
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- DynamicNormalMixture.$generated__10_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__11_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__13_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__14_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__18_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__19_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__1_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__4_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__7_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.$generated__8_class - Class in blang.validation.internals.fixtures
-
- DynamicNormalMixture.Builder - Class in blang.validation.internals.fixtures
-
- m - Variable in class blang.validation.internals.fixtures.FixedMatrix.Builder
-
- main(String[]) - Static method in class blang.distributions.Bernoulli
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Beta
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.BetaBinomial
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.BetaNegativeBinomial
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Binomial
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Categorical
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.ChiSquared
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.ContinuousUniform
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Dirichlet
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.DiscreteUniform
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Exponential
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.F
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Gamma
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.GammaMeanParam
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Geometric
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Gompertz
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Gumbel
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.HalfStudentT
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.HyperGeometric
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Laplace
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.LnUniform
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Logistic
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.LogLogistic
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.LogPotential
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.LogUniform
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.MultivariateNormal
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.NegativeBinomial
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.NegativeBinomialMeanParam
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Normal
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.NormalField
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Poisson
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.PoissonAllInOne
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.SimplexUniform
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.StudentT
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.SymmetricDirichlet
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.Weibull
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.distributions.YuleSimon
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.engines.internals.ptanalysis.PathViz
-
- main(String[]) - Static method in class blang.examples.MixtureModel
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.runtime.internals.ComputeESS
-
- main(String[]) - Static method in class blang.runtime.internals.CreateBlangGradleProject
-
- main(String[]) - Static method in class blang.runtime.internals.DefaultPostProcessor
-
- main(String[]) - Static method in class blang.runtime.internals.doc.MakeHTMLDoc
-
- Main - Class in blang.runtime.internals
-
- Main() - Constructor for class blang.runtime.internals.Main
-
- main(String[]) - Static method in class blang.runtime.internals.Main
-
- main(String...) - Static method in class blang.runtime.Runner
-
- main(String[]) - Static method in class blang.testmodel.Cyclic
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.testmodels.GenerateTwice
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.AutoBoxDeboxTests
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.BadNormal
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.BadPlate
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.CustomAnnealRef
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.CustomAnnealTest
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Diffusion
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Doomsday
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.DynamicNormalMixture
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Empty
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.FixedMatrix
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Growth
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.HierarchicalModel
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Ising
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Loop
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.MarkovChain
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Multimodal
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.NoGen
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.NormalFieldExamples
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.NotNormalForm
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Operations
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.PCR
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.PlatedMatrixTests
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.PoissonNormalField
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Scalability
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Simple
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.SimpleHierarchicalModel
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.SmallHMM
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.SometimesNaN
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.SpikeAndSlab
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.SpikedGLM
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.Unid
-
Utility main method for posterior inference on this model
- main(String[]) - Static method in class blang.validation.internals.fixtures.UnspecifiedParam
-
Utility main method for posterior inference on this model
- MakeHTMLDoc - Class in blang.runtime.internals.doc
-
- MakeHTMLDoc() - Constructor for class blang.runtime.internals.doc.MakeHTMLDoc
-
- markAsObserved(T) - Method in class blang.runtime.Observations
-
- markAsObserved(Node) - Method in class blang.runtime.Observations
-
- markAsObserved(double) - Method in class blang.runtime.Observations
-
- markAsObserved(int) - Method in class blang.runtime.Observations
-
- MarkovChain - Class in blang.validation.internals.fixtures
-
- MarkovChain(List<IntVar>, Supplier<Simplex>, Supplier<TransitionMatrix>) - Constructor for class blang.validation.internals.fixtures.MarkovChain
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- MarkovChain.$generated__1_class - Class in blang.validation.internals.fixtures
-
- MarkovChain.$generated__5_class - Class in blang.validation.internals.fixtures
-
- MarkovChain.Builder - Class in blang.validation.internals.fixtures
-
- matchedSamplers - Variable in class blang.mcmc.internals.SamplerMatch
-
- matchingReport - Variable in class blang.mcmc.internals.BuiltSamplers
-
- matrices(Object) - Static method in class blang.runtime.internals.objectgraph.ExplorationRules
-
- MatrixConstituentNode - Class in blang.runtime.internals.objectgraph
-
- MatrixConstituentNode(Matrix, int, int) - Constructor for class blang.runtime.internals.objectgraph.MatrixConstituentNode
-
- max - Variable in class blang.distributions.ContinuousUniform.Builder
-
- max - Variable in class blang.distributions.LnUniform.Builder
-
- max - Variable in class blang.distributions.LogUniform.Builder
-
- maxAnnealingParameter - Variable in class blang.engines.AdaptiveJarzynski
-
- maxDepth - Variable in class blang.engines.internals.factories.Exact
-
- maxEval - Variable in class blang.validation.NormalizationTest
-
- maxExclusive - Variable in class blang.distributions.DiscreteUniform.Builder
-
- maxNExpansions - Variable in class blang.validation.NormalizationTest
-
- maxTraces - Variable in class blang.engines.internals.factories.Exact
-
- mc - Variable in class blang.validation.internals.fixtures.Examples
-
- MCMC - Class in blang.engines.internals.factories
-
- MCMC() - Constructor for class blang.engines.internals.factories.MCMC
-
- mean - Variable in class blang.distributions.GammaMeanParam.Builder
-
- mean - Variable in class blang.distributions.MultivariateNormal.Builder
-
- mean - Variable in class blang.distributions.NegativeBinomialMeanParam.Builder
-
- mean - Variable in class blang.distributions.Normal.Builder
-
- mean - Variable in class blang.distributions.Poisson.Builder
-
- mean - Variable in class blang.distributions.PoissonAllInOne.Builder
-
- mean - Variable in class blang.validation.internals.fixtures.BadNormal.Builder
-
- means - Variable in class blang.examples.MixtureModel.Builder
-
- means - Variable in class blang.validation.internals.fixtures.DynamicNormalMixture.Builder
-
- MHSampler - Class in blang.mcmc
-
- MHSampler() - Constructor for class blang.mcmc.MHSampler
-
- min - Variable in class blang.distributions.ContinuousUniform.Builder
-
- min - Variable in class blang.distributions.LnUniform.Builder
-
- min - Variable in class blang.distributions.LogUniform.Builder
-
- minInclusive - Variable in class blang.distributions.DiscreteUniform.Builder
-
- mix - Variable in class blang.validation.internals.fixtures.Examples
-
- MixtureModel - Class in blang.examples
-
- MixtureModel(List<RealVar>, List<IntVar>, Simplex, List<RealVar>, List<RealVar>, Supplier<Matrix>) - Constructor for class blang.examples.MixtureModel
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- MixtureModel.$generated__11_class - Class in blang.examples
-
- MixtureModel.$generated__14_class - Class in blang.examples
-
- MixtureModel.$generated__15_class - Class in blang.examples
-
- MixtureModel.$generated__1_class - Class in blang.examples
-
- MixtureModel.$generated__4_class - Class in blang.examples
-
- MixtureModel.$generated__5_class - Class in blang.examples
-
- MixtureModel.$generated__7_class - Class in blang.examples
-
- MixtureModel.$generated__8_class - Class in blang.examples
-
- MixtureModel.Builder - Class in blang.examples
-
- mM - Variable in class blang.engines.internals.Spline.MonotoneCubicSpline
-
- model - Variable in class blang.runtime.internals.objectgraph.GraphAnalysis
-
- model - Variable in class blang.runtime.Runner
-
- model - Variable in class blang.runtime.SampledModel
-
- model - Variable in class blang.validation.ExactInvarianceTest.TestResult
-
- model - Variable in class blang.validation.Instance
-
- moment - Variable in class blang.runtime.internals.ComputeESS
-
- moment - Variable in class blang.validation.internals.fixtures.Ising.Builder
-
- MONITORING_FOLDER - Static variable in class blang.runtime.Runner
-
- monitoringStatistics - Variable in class blang.mcmc.internals.SamplerBuilderContext
-
- monitoringStatistics - Variable in class blang.mcmc.internals.SamplerBuilderOptions
-
- MonotoneCubicSpline(double[], double[]) - Constructor for class blang.engines.internals.Spline.MonotoneCubicSpline
-
- movedFraction - Variable in class blang.validation.ExactInvarianceTest.TestResult
-
- moveKernel(double) - Method in class blang.engines.ParallelTempering
-
- mu - Variable in class blang.distributions.StudentT.Builder
-
- mu - Variable in class blang.validation.internals.fixtures.CustomAnnealRef.Builder
-
- mu - Variable in class blang.validation.internals.fixtures.CustomAnnealTest.Builder
-
- mul(DenseMatrix) - Method in class blang.types.DenseSimplex
-
- mul(Matrix) - Method in class blang.types.DenseSimplex
-
- mul(Number) - Method in class blang.types.DenseSimplex
-
- mul(SparseMatrix) - Method in class blang.types.DenseSimplex
-
- mul(DenseMatrix) - Method in class blang.types.DenseTransitionMatrix
-
- mul(Matrix) - Method in class blang.types.DenseTransitionMatrix
-
- mul(Number) - Method in class blang.types.DenseTransitionMatrix
-
- mul(SparseMatrix) - Method in class blang.types.DenseTransitionMatrix
-
- mulInPlace(Number) - Method in class blang.types.DenseSimplex
-
- mulInPlace(Number) - Method in class blang.types.DenseTransitionMatrix
-
- multimodal - Variable in class blang.validation.internals.fixtures.Examples
-
- Multimodal - Class in blang.validation.internals.fixtures
-
- Multimodal(RealVar, Supplier<RealDistribution>, Supplier<RealDistribution>) - Constructor for class blang.validation.internals.fixtures.Multimodal
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- Multimodal.$generated__0_class - Class in blang.validation.internals.fixtures
-
- Multimodal.Builder - Class in blang.validation.internals.fixtures
-
- multivariateNormal(Random, Matrix, CholeskyDecomposition) - Static method in class blang.distributions.Generators
-
- MultivariateNormal - Class in blang.distributions
-
- MultivariateNormal(Matrix, Supplier<Matrix>, Supplier<CholeskyDecomposition>) - Constructor for class blang.distributions.MultivariateNormal
-
Note: the generated code has the following properties used at runtime:
- all arguments are annotated with a BlangVariable annotation
- params additionally have a Param annotation
- the order of the arguments is as follows:
- first, all the random variables in the order they occur in the blang file
- second, all the params in the order they occur in the blang file
- MultivariateNormal.$generated__1_class - Class in blang.distributions
-
- MultivariateNormal.$generated__2_class - Class in blang.distributions
-
- MultivariateNormal.$generated__3_class - Class in blang.distributions
-
- MultivariateNormal.Builder - Class in blang.distributions
-
- mvn - Variable in class blang.validation.internals.fixtures.Examples
-
- mX - Variable in class blang.engines.internals.Spline.MonotoneCubicSpline
-
- mY - Variable in class blang.engines.internals.Spline.MonotoneCubicSpline
-
- myParam - Variable in class blang.validation.internals.fixtures.UnspecifiedParam.Builder
-
- myRandom - Variable in class blang.validation.internals.fixtures.UnspecifiedParam.Builder
-