# Fits a Non-Parametric Bayesian Source Attribution Model

## Documentation for package ‘sourceR’ version 1.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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