Value(s) for initialization (default = 0). In a nimbleFunction, matrix and array are identical to nimMatrix and nimArray, respectively getSamplesDPmeasure: Get posterior samples for a Dirichlet process measureĬreates matrix or array objects for use in nimbleFunctions Description.getParam: Get value of a parameter of a stochastic node in a model.getDefinition: Get nimbleFunction definition.getConditionallyIndependentSets: Get a list of conditionally independent sets of nodes in a.getBUGSexampleDir: Get the directory path to one of the classic BUGS examples.getBound: Get value of bound of a stochastic node in a model.flat: The Improper Uniform Distribution.extractControlElement: Extract named elements from MCMC sampler control list.Exponential: The Exponential Distribution.eigenNimbleList: eigenNimbleList definition.Double-Exponential: The Double Exponential (Laplace) Distribution.distributionInfo: Get information about a distribution.deregisterDistributions: Remove user-supplied distributions from use in NIMBLE BUGS.declare: Explicitly declare a variable in run-time code of a.decideAndJump: Creates a nimbleFunction for executing the.decide: Makes the Metropolis-Hastings acceptance decision, based upon.Constraint: Constraint calculations in NIMBLE.configureRJ: Configure Reversible Jump for Variable Selection.configureMCMC: Build the MCMCconf object for construction of an MCMC object.compileNimble: compile NIMBLE models and nimbleFunctions.compareMCMCs: Placeholder for compareMCMCs.codeBlockClass-class: Class 'codeBlockClass'.CnimbleFunctionBase-class: Class 'CnimbleFunctionBase'.CmodelBaseClass-class: Class 'CmodelBaseClass'.ChineseRestaurantProcess: The Chinese Restaurant Process Distribution.checkInterrupt: Check for interrupt (e.g.Categorical: The Categorical Distribution.CAR-Proper: The CAR-Proper Distribution.CAR-Normal: The CAR-Normal Distribution.carMinBound: Calculate the lower bound for the autocorrelation parameter.carMaxBound: Calculate the upper bound for the autocorrelation parameter.CAR_calcNumIslands: Calculate number of islands based on a CAR adjacency matrix.carBounds: Calculate bounds for the autocorrelation parameter of the.calculateWAIC: Calculating WAIC using an offline algorithm. buildMCMC: Create an MCMC function from a NIMBLE model, or an MCMC.buildMCEM: Builds an MCEM algorithm from a given NIMBLE model.buildLiuWestFilter: Placeholder for buildLiuWestFilter.buildIteratedFilter2: Placeholder for buildIteratedFilter2.buildEnsembleKF: Placeholder for buildEnsembleKF.buildBootstrapFilter: Placeholder for buildBootstrapFilter.buildAuxiliaryFilter: Placeholder for buildAuxiliaryFilter.BUGSdeclClass-class: BUGSdeclClass contains the information extracted from one.autoBlock: Automated parameter blocking procedure for efficient MCMC.asRow: Turn a numeric vector into a single-row or single-column.as.carCM: Convert weights vector to parameters of 'dcar_proper'.as.carAdjacency: Convert CAR structural parameters to adjacency, weights, num.any_na: Determine if any values in a vector are NA or NaN.ADNimbleList: EXPERIMENTAL Data type for the return value of 'nimDerivs'.
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