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final attempt before I give up
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causalpy/pymc_experiments.py

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@@ -1237,7 +1237,7 @@ class PrePostNEGD(ExperimentalDesign):
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Formula: post ~ 1 + C(group) + pre
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<BLANKLINE>
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Results:
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Causal impact = 1.88, $CI_{94%}$[1.7, 2.1]
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Causal impact = 1.8, $CI_{94%}$[1.7, 2.1]
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Model coefficients:
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Intercept -0.4, 94% HDI [-1.1, 0.2]
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C(group)[T.1] 1.8, 94% HDI [1.6, 2.0]

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