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<h1 id="frequently-asked-question"><span id="faq"></span>Frequently Asked Question<a class="headerlink" href="#frequently-asked-question" title="Link to this heading">¶</a></h1>
<h2 id="what-is-statsmodels">What is statsmodels?<a class="headerlink" href="#what-is-statsmodels" title="Link to this heading">¶</a></h2>
<p>statsmodels is a Python package that provides a collection of widely-used
statistical models. While statsmodels historically has an econometrics-heavy
user base, the package is designed to be useful to a large variety of
statistical use cases. In comparison with other Python-based modelling
tools, statsmodels focuses more heavily on the statistics and diagnostics
underlying the models than having the most cutting-edge or predictive models.</p>
<h2 id="what-do-endog-and-exog-mean"><span id="endog-exog-faq"></span>What do endog and exog mean?<a class="headerlink" href="#what-do-endog-and-exog-mean" title="Link to this heading">¶</a></h2>
<p>These are shorthand for endogenous and exogenous variables. You might be more
comfortable with the common <code class="docutils literal notranslate"><span class="pre">y</span></code> and <code class="docutils literal notranslate"><span class="pre">X</span></code> notation in linear models.
Sometimes the endogenous variable <code class="docutils literal notranslate"><span class="pre">y</span></code> is called a dependent variable.
Likewise, sometimes the exogenous variables <code class="docutils literal notranslate"><span class="pre">X</span></code> are called the independent
variables. You can read about this in greater detail at <a class="reference internal" href="endog_exog.html#endog-exog"><span class="std std-ref">endog, exog, what’s that?</span></a></p>
<h2 id="how-does-statsmodels-handle-missing-data"><span id="missing-faq"></span>How does statsmodels handle missing data?<a class="headerlink" href="#how-does-statsmodels-handle-missing-data" title="Link to this heading">¶</a></h2>
<p>Missing data can be handled via the <code class="docutils literal notranslate"><span class="pre">missing</span></code> keyword argument. Every model
takes this keyword. You can find more information in the docstring of
<a class="reference internal" href="dev/generated/statsmodels.base.model.Model.html#statsmodels.base.model.Model" title="statsmodels.base.model.Model (Python class) — A (predictive) statistical model. Intended to be subclassed not used."><code class="xref py py-class docutils literal notranslate"><span class="pre">statsmodels.base.Model</span></code></a>.</p>
<h2 id="why-will-not-statsmodels-build"><span id="build-faq"></span>Why will not statsmodels build?<a class="headerlink" href="#why-will-not-statsmodels-build" title="Link to this heading">¶</a></h2>
<p>Remember that to build, you must have:</p>
<ul class="simple">
<li><p>The appropriate dependencies (numpy, pandas, scipy, Cython) installed</p></li>
<li><p>A suitable C compiler</p></li>
<li><p>A working python installation</p></li>
</ul>
<p>Please review our <a class="reference internal" href="install.html#install"><span class="std std-ref">installation instructions</span></a> for details.</p>
<p>You might also try cleaning up your source directory by running:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code>pip<span class="w"> </span>uninstall<span class="w"> </span>statsmodels
git<span class="w"> </span>clean<span class="w"> </span>-xfd
</code></pre></div>
</div>
<p>And then attempting to re-compile. If you want to be more aggressive, you
could also reset git to a prior version by:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><code>git<span class="w"> </span>reset<span class="w"> </span>--hard
git<span class="w"> </span>clean<span class="w"> </span>-xdf
git<span class="w"> </span>checkout<span class="w"> </span>main
</code></pre></div>
</div>
<h2 id="i-d-like-to-contribute-where-do-i-start">I’d like to contribute. Where do I start?<a class="headerlink" href="#i-d-like-to-contribute-where-do-i-start" title="Link to this heading">¶</a></h2>
<p>Check out our <a class="reference internal" href="dev/index.html"><span class="doc">development pages</span></a> for a guide on how to
get involved. We accept Pull Requests on our GitHub page for bugfixes and
topics germane to statistics and statistical modeling. In addition, usability
and quality of life enhancements are greatly appreciated as well.</p>
<h2 id="what-if-my-question-is-not-answered-here">What if my question is not answered here?<a class="headerlink" href="#what-if-my-question-is-not-answered-here" title="Link to this heading">¶</a></h2>
<p>You may find answers for questions that have not yet been added here on GitHub
under the <a class="reference external" href="https://github.com/statsmodels/statsmodels/labels/FAQ">FAQ issues tag</a>.
If not, please ask your question on stackoverflow using the
<a class="reference external" href="https://stackoverflow.com/questions/tagged/statsmodels">statsmodels tag</a> or
on the <a class="reference external" href="https://groups.google.com/forum/#!forum/pystatsmodels">mailing list</a>.</p>
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