RegressionKink

class causalpy.experiments.regression_kink.RegressionKink

Regression Kink experiment class.

Methods

RegressionKink.__init__(data, formula, ...)
RegressionKink.get_plot_data(*args, **kwargs)	Recover the data of an experiment along with the prediction and causal impact information.
RegressionKink.get_plot_data_bayesian(*args, ...)	Abstract method for recovering plot data.
RegressionKink.get_plot_data_ols(*args, **kwargs)	Abstract method for recovering plot data.
RegressionKink.input_validation()	Validate the input data and model formula for correctness
RegressionKink.plot(*args, **kwargs)	Plot the model.
RegressionKink.print_coefficients([round_to])	Ask the model to print its coefficients.
RegressionKink.summary([round_to])	Print summary of main results and model coefficients.

Attributes

idata	Return the InferenceData object of the model.
supports_bayes
supports_ols

__init__(data, formula, kink_point, model=None, running_variable_name='x', epsilon=0.001, bandwidth=inf, **kwargs)

Parameters:

• data (DataFrame)

• formula (str)

• kink_point (float)

• running_variable_name (str)

• epsilon (float)

• bandwidth (float)

classmethod __new__(*args, **kwargs)