PrePostNEGD

class causalpy.pymc_experiments.PrePostNEGD

A class to analyse data from pretest/posttest designs

Parameters:

• data (DataFrame) – A pandas dataframe

• formula (str) – A statistical model formula

• group_variable_name (str) – Name of the column in data for the group variable, should be either binary or boolean

• pretreatment_variable_name (str) – Name of the column in data for the pretreatment variable

• model – A PyMC model

Methods

PrePostNEGD.__init__(data, formula, ...[, model])
PrePostNEGD.plot([round_to])	Plot the results
PrePostNEGD.print_coefficients([round_to])	Prints the model coefficients
PrePostNEGD.summary([round_to])	Print text output summarising the results

Attributes

expt_type
idata	Access to the models InferenceData object
model

__init__(data, formula, group_variable_name, pretreatment_variable_name, model=None, **kwargs)

Parameters:

• data (DataFrame)

• formula (str)

• group_variable_name (str)

• pretreatment_variable_name (str)

__new__(*args, **kwargs)