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Creating Power Analysis Through Posterior ROPE Estimation #368

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Creating Power Analysis Through Posterior ROPE Estimation #368

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79eb4c5
Bayesian ROPE Analysis
cetagostini Jun 22, 2024
23922f9
Merge branch 'main' into rope_analysis
cetagostini Jun 23, 2024
c3b108d
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jun 23, 2024
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5 changes: 3 additions & 2 deletions causalpy/pymc_experiments.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@
)
from causalpy.plot_utils import plot_xY
from causalpy.utils import round_num
from causalpy.pymc_rope import ROPE

LEGEND_FONT_SIZE = 12
az.style.use("arviz-darkgrid")
Expand Down Expand Up @@ -356,7 +357,7 @@ def summary(self, round_to=None) -> None:
self.print_coefficients(round_to)


class InterruptedTimeSeries(PrePostFit):
class InterruptedTimeSeries(PrePostFit, ROPE):
"""
A wrapper around PrePostFit class

Expand Down Expand Up @@ -396,7 +397,7 @@ class InterruptedTimeSeries(PrePostFit):
expt_type = "Interrupted Time Series"


class SyntheticControl(PrePostFit):
class SyntheticControl(PrePostFit, ROPE):
"""A wrapper around the PrePostFit class

:param data:
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