libspatialSEIR
0.1
Bayesian Spatial SEIR Modeling
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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level
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2
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SpatialSEIR
compartmentArgs
CompartmentalModelMatrix
covariateArgs
CovariateMatrix
distanceArgs
scaledDistanceArgs
DistanceMatrix
LocationTrace
TimeLocationTrace
IOProvider
IterationTask
SetCompartmentSamplingIndicesTask
PerformDecorrelationStep
PerformHybridSE_EI_UpdateStep
Sampler
ParameterNullSampler
ParameterHybridSampler
CompartmentMetropolisSampler
CompartmentMetropolisSampler_OCL
IndexedCompartmentMetropolisSampler
IndexedCompartmentSliceSampler
CompartmentBinomialMetropolisSampler
IndexedCompartmentBinomialMetropolisSampler
CompartmentBinomialSliceSampler
InitCompartmentMetropolisSampler
InitCompartmentMetropolisSampler_OCL
IndexedInitCompartmentMetropolisSampler
IndexedInitCompartmentSliceSampler
ParameterSingleMetropolisSampler
ParameterJointMetropolisSampler
ParameterJointMetropolisSampler_OCL
ParameterJointSliceSampler
ParameterDecorrelationSampler
modelConfiguration
ModelContext
OCLProvider
RandomNumberProvider
FC_Beta
FC_Beta_P_RS
FC_E0
FC_E_Star
FC_Gamma_EI
FC_Gamma_IR
FC_I0
FC_R0
FC_R_Star
FC_Rho
FC_S0
FC_S_Star
priorControl
Struct containing hyperparameters for beta, betaP_RS, P_EI, and P_IR
sliceParameters
Struct containing initial slice sampling tuning parameters
InitData
Simple class containing the starting compartment sizes
FullConditional
CompartmentFullConditional
ParameterFullConditional
InitCompartmentFullConditional
FC_I_Star_overdispersed
FC_Phi
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