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# DecisionMetropolisHastings 

### Companion class DecisionMetropolisHastings

#### object DecisionMetropolisHastings

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4. def apply[T, U](numSamples: Int, scheme: ProposalScheme, burnIn: Int, interval: Int, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create a OneTime DecisionMetropolis-Hastings sampler using the given number of samples, proposal scheme, number of burn-in samples, and interval between samples with the given decision.

5. def apply[T, U](scheme: ProposalScheme, burnIn: Int, interval: Int, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create an Anytime DecisionMetropolis-Hastings sampler using the given proposal scheme, number of burn-in samples, and interval between samples with the given decision.

6. def apply[T, U](numSamples: Int, scheme: ProposalScheme, burnIn: Int, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create a OneTime DecisionMetropolis-Hastings sampler using the given number of samples, proposal scheme, and number of burn-in samples with the given decision.

7. def apply[T, U](scheme: ProposalScheme, burnIn: Int, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create an Anytime DecisionMetropolis-Hastings sampler using the given proposal scheme and number of burn-in samples with the given decision.

8. def apply[T, U](numSamples: Int, scheme: ProposalScheme, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create a OneTime DecisionMetropolis-Hastings sampler using the given number of samples and proposal scheme with the given decision.

9. def apply[T, U](scheme: ProposalScheme, utilityNodes: List[Element[_]], target: Decision[T, U])(implicit universe: Universe)

Create an Anytime DecisionMetropolis-Hastings sampler using the given proposal scheme with the given decision.

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