change_initiation_prob

class change_initiation_prob(year=None, prob_use_intercept=0.0, verbose=False, **kwargs)

Bases: Intervention

Intervention to change the probabilty of contraception use trend parameter in contraceptive choice modules that have a logistic regression model.

Parameters:

• year (float) – The year in which this intervention will be applied

• prob_use_intercept (float) – A number that changes the intercept in the logistic regression model

• / (p_use = 1)

Attributes

has_product	Check if the intervention has a product
now	Shortcut to self.t.now()
states	Return a flat list of all states
statesdict	Return a flat dictionary (objdict) of all states
ti	Get the current module timestep
timevec	Shortcut to self.t.timevec

Methods

step()

Applies the changes to efficacy or contraceptive uptake changes if it is the specified year based on scenario specifications.