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.. _examples-index:

Examples
===================



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Basic I/O
---------



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    <div class="sphx-glr-thumbcontainer" tooltip="In PyMARE, operations are performed on Dataset objects. Datasets are very lightweight objects that store the data used for meta-analyses, including study-level estimates (y), variances (v), predictors (X), and sample sizes (n).">

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  :ref:`sphx_glr_auto_examples_01_basic_io_plot_create_dataset.py`

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      <div class="sphx-glr-thumbnail-title">Creating a dataset</div>
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Running Meta-Analyses
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    <div class="sphx-glr-thumbcontainer" tooltip="Here we walk through the basic steps of running a meta-analysis with PyMARE.">

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  :ref:`sphx_glr_auto_examples_02_meta-analysis_plot_run_meta-analysis.py`

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      <div class="sphx-glr-thumbnail-title">The Basics of Running a Meta-Analysis</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="PyMARE implements a range of meta-analytic estimators. In this example, we build a simulated dataset with a known ground truth and use it to compare PyMARE&#x27;s estimators.">

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  :ref:`sphx_glr_auto_examples_02_meta-analysis_plot_meta-analysis_walkthrough.py`

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      <div class="sphx-glr-thumbnail-title">Run Estimators on a simulated dataset</div>
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   /auto_examples/01_basic_io/index.rst
   /auto_examples/02_meta-analysis/index.rst


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      :download:`Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>`

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      :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>`


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    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_