FalsificationResult#

class causalpy.checks.outcome_falsification.FalsificationResult[source]#

Result for a single falsification formula.

formula#

The falsification formula used.

Type:: str

effect_mean#

Posterior mean of the estimated effect.

Type:: float

hdi_lower#

Lower bound of the HDI for the effect.

Type:: float

hdi_upper#

Upper bound of the HDI for the effect.

Type:: float

experiment#

The fitted experiment for this formula. None when OutcomeFalsification was run with store_experiments=False; in that case only the summary statistics above are retained.

Type:: BaseExperiment | None

Methods

Attributes

`experiment`
`formula`
`effect_mean`
`hdi_lower`
`hdi_upper`

__init__(formula, effect_mean, hdi_lower, hdi_upper, experiment=None)#

Parameters:

formula (str)
effect_mean (float)
hdi_lower (float)
hdi_upper (float)
experiment (BaseExperiment | None)

Return type:

None

classmethod __new__(*args, **kwargs)#