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<!DOCTYPE html>
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<head>
<meta charset="utf-8">
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<meta name="description" content="Transportation Methods for Econometrics">
<meta name="author" content="Alfred Galichon and Keith O'Hara">
<meta name="keywords" content="TraME, Transportation Methods, Optimal Transport, R, C++, Cpp, Econometrics, Research, Alfred Galichon, Keith O'Hara, NYU, New York University" />
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<title>Transportation Methods for Econometrics (TraME)</title>
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<br>
<h3 style="text-align: center;"><strong style="font-size: 130%;"><u>Transportation Methods for Econometrics</u></strong></h3>
<p style="text-align: center;"><a href="https://travis-ci.org/TraME-Project/TraME" target="_blank"><img src="https://travis-ci.org/TraME-Project/TraME.svg?branch=master" alt="TraME Build"></a>
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<p style="text-align: center;"><a class="github-button" href="https://github.com/TraME-Project/TraME/subscription" data-icon="octicon-eye" data-count-href="/TraME-Project/TraME/watchers" data-count-api="/repos/TraME-Project/TraME#subscribers_count" data-count-aria-label="# watchers on GitHub" aria-label="Watch TraME-Project/TraME on GitHub">Watch</a>
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<br>
<p>TraME (<b><i>Tra</i></b>nsportation <b><i>M</i></b>ethods for <b><i>E</i></b>conometrics) is a templated C++ library for solving problems of equilibrium computation and estimation in consumer demand and matching frameworks via the Mass Transportation Approach.</p>
<hr>
<b>Features</b>
<br>
<table border="0" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td style="text-align: left; vertical-align: top; width: 50%;">
<ul>
<li>Flexible, templated C++11 library</li>
<li>Built on the <a href="http://arma.sourceforge.net" target="_blank">Armadillo C++ linear algebra library</a></li>
<li>Nonlinear optimization using <a href="optimlib.html" target="_blank">OptimLib</a></li>
<li>Can link with <a href="http://www.gurobi.com/" target="_blank">Gurobi</a> or <a href="https://www.gnu.org/software/glpk/" target="_blank">GLPK</a></li>
<li>R interface: <a href="trame-rcpp.html">TraME-Rcpp</a></li>
</ul>
</td>
<td>
</td>
<td class="line" style="vertical-align: top;">
<br>
</td>
<td style="text-align: left; vertical-align: top; width: 50%;">
<ul>
<li>Several popular random utility specifications,
as well as models with transferable, non-transferable, and imperfectly transferable utility</li>
<li>Numerous equilibrium solvers, including the iterative proportional fitting procedure (IPFP) and the deferred acceptance algorithm
<li>Maximum likelihood- and moment matching-based estimation</li>
</ul>
</td>
</tr>
</tbody>
</table>
<br>
<p><strong>License</strong>: TraME is licensed under the GNU General Public License (GPL) version 2, or (at your option) any later version.</p>
<p><strong>Authors</strong>:</p>
<ul>
<li>TraME Team: <a href="http://alfredgalichon.com/" target="_blank">Alfred Galichon</a> and <a href="http://www.kthohr.com" target="_blank">Keith O'Hara</a>
<li>Contributors: Yifei Sun, <a href="https://sites.google.com/site/webersimonsite/home" target="_blank">Simon Weber</a></li>
</ul>
<hr style="height:2px;border-width:0;background-color:black">
<h3 style="text-align: left;"><strong style="font-size: 95%;">Download and Installation</strong></h3>
<ul>
<li>The source code is available on <a href="https://github.com/TraME-Project/TraME" target="_blank">GitHub</a>.</li>
<li>To use the linear programming features, TraME requires an installation of Gurobi or GLPK.</li>
<!-- <li><strong>Note:</strong> Gurobi performs significantly better than GLPK.</li> -->
</ul>
<p>TraME can be installed in the standard way:</p>
<pre class="brush: bash;">
./configure
make
make install</pre>
<p>This will install the library into <samp>/usr/local</sampe></p>
<p>Configure options:</p>
<ul>
<li><code>-b dev</code> a 'development' build with install names set to the build directory (as opposed to an install path)</li>
<li><code>-c</code> a coverage build</li>
<li><code>-l</code> specify a linear programming library to use; for example <code>-l glpk</code> or <code>-l gurobi</code></li>
<li><code>-m</code> specify the BLAS and Lapack libraries to link against; for example, <code>-m "-lopenblas"</code></li>
<li><code>-o</code> enable aggressive compiler optimization features: <code>-o fast</code> or <code>-o native</code></li>
<li><code>-p</code> enable parallelization features (using OpenMP)</li>
</ul>
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