MichaelisMentenEffect

effects.MichaelisMentenEffect(
    self,
    effect_mode='multiplicative',
    max_effect_prior=None,
    half_saturation_prior=None,
    base_effect_name='trend',
)

Represents a Michaelis-Menten effect in a time series model.

The Michaelis-Menten equation is commonly used in biochemistry to describe enzyme kinetics, but it’s also useful for modeling saturation effects in time series analysis. The effect follows the equation:

effect = (max_effect * data) / (half_saturation + data)

Where: - max_effect is the maximum effect value (Vmax in biochemistry) - half_saturation is the value at which effect = max_effect/2 (Km in biochemistry) - data is the input variable (substrate concentration in biochemistry)

Parameters

Name	Type	Description	Default
max_effect_prior	Optional[Distribution]	Prior distribution for the maximum effect parameter	None
half_saturation_prior	Optional[Distribution]	Prior distribution for the half-saturation parameter	None
effect_mode	effects_application	Either “additive” or “multiplicative”, by default “multiplicative”	'multiplicative'
base_effect_name	str	Name of the base effect to multiply with (if multiplicative)	'trend'