.. _sphx_glr_generated_examples_spline:

Spline Baseline Examples
------------------------



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    <div class="sphx-glr-thumbcontainer" tooltip="This example will examine the effects of lam for fitting a penalized spline baseline while varying both the number of knots for the spline, num_knots, and the number of data points. The function mixture_model is used for all calculations.">

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  .. image:: /generated/examples/spline/images/thumb/sphx_glr_plot_lam_vs_num_knots_thumb.png
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  :ref:`sphx_glr_generated_examples_spline_plot_lam_vs_num_knots.py`

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      <div class="sphx-glr-thumbnail-title">lam vs number of knots</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="pybaselines contains penalized spline (P-spline) versions of all of the Whittaker-smoothing-based algorithms implemented in pybaselines. The reason for doing so was that P-splines offer additional user flexibility when choosing parameters for fitting and more easily work for unequally spaced data. This example will examine the relationship of lam versus the number of data points when fitting a baseline with the arpls function and its P-spline version, pspline_arpls.">

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  .. image:: /generated/examples/spline/images/thumb/sphx_glr_plot_pspline_whittaker_thumb.png
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  :ref:`sphx_glr_generated_examples_spline_plot_pspline_whittaker.py`

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      <div class="sphx-glr-thumbnail-title">P-spline versions of Whittaker functions</div>
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.. toctree::
   :hidden:

   /generated/examples/spline/plot_lam_vs_num_knots
   /generated/examples/spline/plot_pspline_whittaker