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update GLM-robust for PyMC 6 #877

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update GLM-robust for PyMC 6 #877

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436 changes: 330 additions & 106 deletions examples/generalized_linear_models/GLM-robust.ipynb
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6 changes: 3 additions & 3 deletions examples/generalized_linear_models/GLM-robust.myst.md
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Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ import xarray as xr
RANDOM_SEED = 8927
rng = np.random.default_rng(RANDOM_SEED)
%config InlineBackend.figure_format = 'retina'
az.style.use("arviz-darkgrid")
az.style.use("arviz-variat")
```

Create some toy data but also add some outliers.
Expand Down Expand Up @@ -104,7 +104,7 @@ A version of this same notebook using Bambi is available at {doc}`bambi's docs <

```{code-cell} ipython3
with pm.Model() as model:
xdata = pm.ConstantData("x", x_out, dims="obs_id")
xdata = pm.Data("x", x_out, dims="obs_id")

# define priors
intercept = pm.Normal("intercept", mu=0, sigma=1)
Expand Down Expand Up @@ -159,7 +159,7 @@ Below is a PyMC model, with the `likelihood` term following a `StudentT` distrib

```{code-cell} ipython3
with pm.Model() as robust_model:
xdata = pm.ConstantData("x", x_out, dims="obs_id")
xdata = pm.Data("x", x_out, dims="obs_id")

# define priors
intercept = pm.Normal("intercept", mu=0, sigma=1)
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