voiage.methods.dominance.cost_effectiveness_frontier
cost_effectiveness_frontier
Section titled “cost_effectiveness_frontier”cost_effectiveness_frontier([positional or keyword] costs: np.ndarray | list[float] = None, [positional or keyword] effects: np.ndarray | list[float] = None) -> list[int]Return strategy indices on the cost-effectiveness frontier.
Parameters
Section titled “Parameters”costs : numpy.ndarray or list[float] Strategy costs. effects : numpy.ndarray or list[float] Strategy effects.
Returns
Section titled “Returns”list[int] Ordered frontier indices after removing strongly dominated strategies.
The frontier is the ordered subset of non-dominated strategies with strictly increasing effect and strictly improving ICERs after the extended-dominance pruning pass.
Examples
Section titled “Examples”>>> import numpy as np >>> from voiage.methods.dominance import cost_effectiveness_frontier >>> cost_effectiveness_frontier(np.array([10.0, 12.0, 13.0]), np.array([1.0, 1.1, 1.3])) [0, 1, 2]
Parameters:
costsnp.ndarray | list[float]effectsnp.ndarray | list[float]
Returns: list[int]