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<p><link rel="stylesheet" href="styles.css" type="text/css"></p>
<div id="EpiILMCT" class="section level3">
<p align="center">
<a href="https://github.com/waleedalmutiry/EpiILMCT/blob/master/README.md"><img src="images/EpiIMCT.jpg" width="35%"></a>
</p>
<p><a href="https://cran.r-project.org/package=EpiILMCT"><img src="https://www.r-pkg.org/badges/version/EpiILMCT" alt="CRAN_Status_Badge" /></a> <a href="https://cran.r-project.org/package=EpiILMCT"><img src="https://cranlogs.r-pkg.org/badges/EpiILMCT" alt="Downloads" /></a> <a href="https://www.gnu.org/licenses/gpl-3.0.en.html"><img src="https://img.shields.io/badge/licence-GPL--3-blue.svg" alt="Licence" /></a> <a href="https://rdocumentation.org/packages/EpiILMCT/versions/1.1.7"><img src="https://rdocumentation.org/packages/EpiILMCT/versions/1.1.7" alt="Rdoc" /></a></p>
<h3>
<strong>EpiILMCT: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics</strong>:
</h3>
<p>The <strong>R</strong> package <strong>EpiILMCT</strong> provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks.</p>
<div id="built-with" class="section level2">
<h2>Built With</h2>
<ul>
<li><a href="https://cran.r-project.org">R</a> - The Comprehensive R Archive Network</li>
</ul>
</div>
<div id="authors" class="section level2">
<h2>Authors</h2>
<ul>
<li><strong>Waleed Almutiry</strong> - <em>Author and Maintainer</em></li>
<li><strong><a href="http://people.ucalgary.ca/~robert.deardon/">Rob Deardon</a></strong> - <em>Author</em></li>
<li><strong>Vineetha Warriyar K. V.</strong> - <em>Contributer</em></li>
</ul>
</div>
</div>
<p><br> <br> <br> <br></p>
<div id="EpiILM" class="section level3">
<center>
<h1>
<strong><a href="https://cran.r-project.org/package=EpiILM">EpiILM</a></strong>
</h1>
</center>
<p><a href="https://cran.r-project.org/package=EpiILM"><img src="https://www.r-pkg.org/badges/version/EpiILM" alt="CRAN_Status_Badge" /></a> <a href="https://cran.r-project.org/package=EpiILM"><img src="https://cranlogs.r-pkg.org/badges/EpiILM" alt="Downloads" /></a> <a href="https://www.gnu.org/licenses/gpl-3.0.en.html"><img src="https://img.shields.io/badge/licence-GPL--3-blue.svg" alt="Licence" /></a> <a href="https://rdocumentation.org/packages/EpiILM/versions/1.5.2"><img src="https://rdocumentation.org/packages/EpiILM/versions/1.5.2" alt="Rdoc" /></a></p>
<h3>
<strong>EpiILM: Spatial and Network Based Individual Level Models for Epidemics</strong>:
</h3>
<p>The <strong>R</strong> package <strong>EpiILM</strong> provides tools for simulating from discrete-time individual level models for infectious disease data analysis. This epidemic model class contains spatial and contact-network based models with two disease types: Susceptible-Infectious (SI) and Susceptible-Infectious-Removed (SIR).</p>
<div id="built-with-1" class="section level2">
<h2>Built With</h2>
<ul>
<li><a href="https://cran.r-project.org">R</a> - The Comprehensive R Archive Network</li>
</ul>
</div>
<div id="authors-1" class="section level2">
<h2>Authors</h2>
<ul>
<li><strong>Vineetha Warriyar K. V.</strong> - <em>Author</em></li>
<li><strong>Waleed Almutiry</strong> - <em>Author and Maintainer</em></li>
<li><strong><a href="http://people.ucalgary.ca/~robert.deardon/">Rob Deardon</a></strong> - <em>Author</em></li>
</ul>
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