voiage.methods.sequential.sequential_voi

sequential_voi

sequential_voi([positional or keyword] step_model: SequentialStepModel = None, [positional or keyword] initial_psa: PSASample = None, [positional or keyword] dynamic_specification: DynamicSpec = None, [positional or keyword] wtp: float = 0.0, [positional or keyword] population: float | None = None, [positional or keyword] discount_rate: float | None = None, [positional or keyword] time_horizon: float | None = None, [positional or keyword] optimization_method: str = 'backward_induction', [variadic keyword] kwargs: object = {}) -> float | Generator[dict[str, object], None, None]

Calculate value of information for a sequential decision problem.

Parameters:

• step_model SequentialStepModel
• initial_psa PSASample
• dynamic_specification DynamicSpec
• wtp float (default: 0.0)
• population float | None (default: None)
• discount_rate float | None (default: None)
• time_horizon float | None (default: None)
• optimization_method str (default: 'backward_induction')
• kwargs object (default: {})

Returns: float | Generator[dict[str, object], None, None]