voiage.parallel.monte_carlo.parallel_monte_carlo_simulation

parallel_monte_carlo_simulation

parallel_monte_carlo_simulation([positional or keyword] model_func: Callable[[ParameterSet], ValueArray] = None, [positional or keyword] psa_prior: ParameterSet = None, [positional or keyword] trial_design: TrialDesign = None, [positional or keyword] n_simulations: int = 1000, [positional or keyword] n_workers: int | None = None, [positional or keyword] use_processes: bool = True) -> float

Perform Monte Carlo simulation using parallel processing.

Args: model_func: Economic model function that takes ParameterSet and returns ValueArray psa_prior: Prior parameter samples trial_design: Trial design specification n_simulations: Total number of simulations to run n_workers: Number of parallel workers (default: number of CPU cores) use_processes: Whether to use processes (True) or threads (False)

Returns

float: Expected maximum net benefit from posterior analysis

Parameters:

• model_func Callable[[ParameterSet], ValueArray]
• psa_prior ParameterSet
• trial_design TrialDesign
• n_simulations int (default: 1000)
• n_workers int | None (default: None)
• use_processes bool (default: True)

Returns: float