| Package | Description |
|---|---|
| broadwick.abc |
Package for Approximate Bayesian Computation.
|
| Modifier and Type | Field and Description |
|---|---|
private AbcNamedQuantity |
ApproxBayesianComp.observedData |
| Modifier and Type | Method and Description |
|---|---|
AbcNamedQuantity |
AbcModel.run(AbcNamedQuantity parameters)
Run the model to generate data.
|
AbcNamedQuantity |
AbcPriorsSampler.sample()
Sample from the models Priors to obtain a set of model parameters.
|
| Modifier and Type | Method and Description |
|---|---|
double |
AbcAbsDistance.calculate(AbcNamedQuantity generated,
AbcNamedQuantity observed) |
double |
AbcDistance.calculate(AbcNamedQuantity generated,
AbcNamedQuantity observed)
Calculated the distance between the observed data and the generated data.
|
AbcNamedQuantity |
AbcModel.run(AbcNamedQuantity parameters)
Run the model to generate data.
|
private void |
ApproxBayesianComp.save(AbcNamedQuantity prior)
Save the sample taken from the prior as it meets the criteria set for being a posterior sample.
|
| Constructor and Description |
|---|
ApproxBayesianComp(AbcNamedQuantity observedData,
AbcModel model,
AbcPriorsSampler priors,
double sensitivity)
Create an ABC instance.
|
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