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@@ -45,16 +45,16 @@ For an extensive introduction to metadpy, you can navigate the following noteboo
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| Notebook | Colab |
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| --- | ---|
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| {ref}`tutorial_1` | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/1-What%20metacognition%20looks%20like.ipynb)
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| {ref}`tutorial_2` | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/2-Fitting%20the%20model-MLE.ipynb)
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| {ref}`tutorial_3` | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/3-Comparison%20with%20the%20hmeta-d%20toolbox.ipynb)
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| What metacognition looks like? | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/1-What%20metacognition%20looks%20like.ipynb)
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| Fitting the model (MLE) | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/2-Fitting%20the%20model-MLE.ipynb)
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| Comparing with the hmetad toolbox | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/3-Comparison%20with%20the%20hmeta-d%20toolbox.ipynb)
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# Examples
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| Notebook | Colab |
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| --- | ---|
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| {ref}`example_1` | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/Example%201%20-%20Fitting%20MLE%20-%20Subject%20and%20group%20level.ipynb)
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| {ref}`example_2` | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/Example%202%20-%20Fitting%20Bayesian%20-%20Subject%20level%20(pymc).ipynb)
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| Subject and group level (MLE) | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/Example%201%20-%20Fitting%20MLE%20-%20Subject%20and%20group%20level.ipynb)
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| Subject and group level (Bayesian) | [](https://colab.research.google.com/github/embodied-computation-group/metadpy/blob/master/docs/source/examples/Example%202%20-%20Fitting%20Bayesian%20-%20Subject%20level%20(pymc).ipynb)
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