AssuranceConfig#

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

Configuration for Bayesian assurance analysis.

expected_effect_prior#

Prior belief about the true total effect.

Type:

Any, optional

rope_half_width#

Half-width of the ROPE interval.

Type:

float, optional

n_design_replications#

Number of simulation replications.

Type:

int, optional

Methods

Attributes

expected_effect_prior

n_design_replications

rope_half_width

__init__(expected_effect_prior=None, rope_half_width=None, n_design_replications=None)#
Parameters:

  • expected_effect_prior (Any | None)

  • rope_half_width (float | None)

  • n_design_replications (int | None)

Return type:

None

classmethod __new__(*args, **kwargs)#