AssuranceResult#

class causalpy.checks.placebo_in_time.AssuranceResult[source]#

Bayesian operating characteristics from design-level simulation.

Usage#

For backward compatibility, rate attributes are forwarded via __getattr__ so that result.true_positive_rate still works (equivalent to result.rates.true_positive_rate).

rates#

Rate metrics grouped in a nested dataclass.

Type:: ConfusionRates

null_decisions#

Raw decision strings under the null scenario.

Type:: np.ndarray

alt_decisions#

Raw decision strings under the alternative scenario.

Type:: np.ndarray

Methods

Attributes

`rates`
`null_decisions`
`alt_decisions`

__init__(rates, null_decisions, alt_decisions)#

Parameters:

rates (ConfusionRates)
null_decisions (ndarray)
alt_decisions (ndarray)

Return type:

None

classmethod __new__(*args, **kwargs)#