change experiment.py::ExperimentalDesign to base.py::BaseExperiment

causalpy/experiments/experiments.py → causalpy/experiments/base.py

@@ -16,7 +16,7 @@
 """
 
 
-class ExperimentalDesign:
+class BaseExperiment:
     """Base class for quasi experimental designs."""
 
     def __init__(self, model=None, **kwargs):

causalpy/experiments/diff_in_diff.py

@@ -27,10 +27,10 @@
 from causalpy.skl_models import ScikitLearnModel
 from causalpy.utils import _is_variable_dummy_coded, convert_to_string
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 
 
-class DifferenceInDifferences(ExperimentalDesign):
+class DifferenceInDifferences(BaseExperiment):
     """A class to analyse data from Difference in Difference settings.
 
     .. note::

causalpy/experiments/instrumental_variable.py

@@ -23,10 +23,10 @@
 from sklearn.linear_model import LinearRegression as sk_lin_reg
 
 from causalpy.custom_exceptions import DataException
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 
 
-class InstrumentalVariable(ExperimentalDesign):
+class InstrumentalVariable(BaseExperiment):
     """
     A class to analyse instrumental variable style experiments.
 

causalpy/experiments/inverse_propensity_weighting.py

@@ -25,10 +25,10 @@
 
 from causalpy.custom_exceptions import DataException
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 
 
-class InversePropensityWeighting(ExperimentalDesign):
+class InversePropensityWeighting(BaseExperiment):
     """
     A class to analyse inverse propensity weighting experiments.
 

causalpy/experiments/prepostfit.py

@@ -25,10 +25,10 @@
 from causalpy.pymc_models import PyMCModel
 from causalpy.skl_models import ScikitLearnModel
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 
 
-class PrePostFit(ExperimentalDesign):
+class PrePostFit(BaseExperiment):
     """
     A base class for quasi-experimental designs where parameter estimation is based on
     just pre-intervention data. This class is not directly invoked by the user.

causalpy/experiments/prepostnegd.py

@@ -26,10 +26,10 @@
 from causalpy.skl_models import ScikitLearnModel
 from causalpy.utils import _is_variable_dummy_coded, round_num
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 
 
-class PrePostNEGD(ExperimentalDesign):
+class PrePostNEGD(BaseExperiment):
     """
     A class to analyse data from pretest/posttest designs
 

causalpy/experiments/regression_discontinuity.py

@@ -21,7 +21,7 @@
 import pandas as pd
 from patsy import build_design_matrices, dmatrices
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 from causalpy.pymc_models import PyMCModel
 from causalpy.skl_models import ScikitLearnModel
 from causalpy.utils import convert_to_string
@@ -32,7 +32,7 @@
 from causalpy.utils import _is_variable_dummy_coded
 
 
-class RegressionDiscontinuity(ExperimentalDesign):
+class RegressionDiscontinuity(BaseExperiment):
     """
     A class to analyse sharp regression discontinuity experiments.
 

causalpy/experiments/regression_kink.py

@@ -22,7 +22,7 @@
 import pandas as pd
 from patsy import build_design_matrices, dmatrices
 
-from .experiments import ExperimentalDesign
+from .base import BaseExperiment
 from causalpy.utils import round_num
 from causalpy.custom_exceptions import (
     DataException,
@@ -31,7 +31,7 @@
 from causalpy.utils import _is_variable_dummy_coded
 
 
-class RegressionKink(ExperimentalDesign):
+class RegressionKink(BaseExperiment):
     """Regression Kink experiment class."""
 
     def __init__(