Add ITS scikit version plot to README.

anevolbap · Mar 9, 2024 · 1510a58 · 1510a58
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diff --git a/README.md b/README.md
@@ -178,7 +178,7 @@ Interrupted time series analysis is appropriate when you have a time series of o
 
 | Frequentist | Bayesian |
 |--|--|
-| coming soon | ![](https://raw.githubusercontent.com/pymc-labs/CausalPy/main/docs/source/_static/interrupted_time_series_pymc.svg) |
+| ![](https://raw.githubusercontent.com/pymc-labs/CausalPy/main/docs/source/_static/interrupted_time_series_skl.svg) | ![](https://raw.githubusercontent.com/pymc-labs/CausalPy/main/docs/source/_static/interrupted_time_series_pymc.svg) |
 
 > The data, pre-treatment model fit, and counterfactual are plotted (top). The causal impact is shown as a blue shaded region. The Bayesian analysis shows shaded Bayesian credible regions of the model fit and counterfactual. Also shown is the causal impact (middle) and cumulative causal impact (bottom).
 

diff --git a/docs/source/_static/interrupted_time_series_skl.svg b/docs/source/_static/interrupted_time_series_skl.svg
diff --git a/docs/source/notebooks/generate_plots.ipynb b/docs/source/notebooks/generate_plots.ipynb