InterruptedTimeSeries

class causalpy.skl_experiments.InterruptedTimeSeries

Interrupted time series analysis, a wrapper around the PrePostFit class

Parameters:

• data – A pandas data frame

• treatment_time – The index or time value of when treatment begins

• formula – A statistical model formula

• model – An sklearn model object

Methods

InterruptedTimeSeries.__init__(data, ...[, ...])
InterruptedTimeSeries.get_coeffs()	Returns model coefficients
InterruptedTimeSeries.plot([...])	Plot experiment results
InterruptedTimeSeries.plot_coeffs()	Plots coefficient bar plot
InterruptedTimeSeries.print_coefficients([...])	Prints the model coefficients
InterruptedTimeSeries.summary([round_to])	Print text output summarising the results

Attributes

expt_type
model
outcome_variable_name

__init__(data, treatment_time, formula, model=None, **kwargs)

__new__(*args, **kwargs)