BaseExperiment

class causalpy.experiments.base.BaseExperiment

Base class for quasi experimental designs.

Methods

BaseExperiment.__init__([model])
BaseExperiment.fit(*args, **kwargs)
BaseExperiment.get_plot_data(*args, **kwargs)	Recover the data of an experiment along with the prediction and causal impact information.
BaseExperiment.get_plot_data_bayesian(*args, ...)	Abstract method for recovering plot data.
BaseExperiment.get_plot_data_ols(*args, **kwargs)	Abstract method for recovering plot data.
BaseExperiment.plot(*args, **kwargs)	Plot the model.
BaseExperiment.print_coefficients([round_to])	Ask the model to print its coefficients.

Attributes

idata	Return the InferenceData object of the model.
labels
supports_bayes
supports_ols

__init__(model=None)

Parameters:

model (PyMCModel | RegressorMixin | None)

Return type:

None

classmethod __new__(*args, **kwargs)