Fits a Non-Parametric Bayesian Source Attribution Model


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Documentation for package ‘sourceR’ version 1.1.0

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AdaptiveDirMRW AdaptiveDirMRW
AdaptiveLogDirMRW AdaptiveLogDirMRW
AdaptiveMultiMRW AdaptiveMultiMRW
Alpha Constructs alpha prior
Alpha_ Alpha prior hyperparameter class
campy Human cases of campylobacteriosis and numbers of source samples positive for _Campylobacter_.
DataNode DataNode
DirichletNode DirichletNode
DirichletProcessNode DirichletProcessNode
DPModel_impl Builds the source attribution model. Is not intended to be used by a regular user. Developers only here!
FormulaNode FormulaNode
GammaNode GammaNode
HaldDP Builds a HaldDP source attribution model
Node Node
PoisGammaDPUpdate PoisGammaDPUpdate
PoissonNode PoissonNode
Prev Constructs prevalence data
Q Constructs initial values for q
sim_SA Simulated data: Human cases of campylobacteriosis and numbers of source samples positive for _Campylobacter_.
sliceTensor Slices a tensorA::tensor
sourceR sourceR: A package for fitting Bayesian non-parametric source attribution models.
StochasticNode StochasticNode
X Constructs source data
Y Constructs disease count data