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(v0.8.0.9027) adding susceptibility() and resistance()

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dr. M.S. (Matthijs) Berends
2019-11-10 12:16:56 +01:00
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docs/reference/AMR.html
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</button>
<span class="navbar-brand">
<a class="navbar-link" href="../index.html">AMR (for R)</a>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.8.0</span>
<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">0.8.0.9027</span>
</span>
</div>
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<p><code>AMR</code> is a free and open-source R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. It supports any table format, including WHONET/EARS-Net data.</p>
<p>We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology &amp; Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is actively maintained and free software; you can freely use and distribute it for both personal and commercial (but not patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation.</p>
<p>This package can be used for:</p><ul>
<li><p>Reference for microorganisms, since it contains all microbial (sub)species from the Catalogue of Life</p></li>
<li><p>Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the Catalogue of Life</p></li>
<li><p>Interpreting raw MIC and disk diffusion values, based on the latest CLSI or EUCAST guidelines</p></li>
<li><p>Determining first isolates to be used for AMR analysis</p></li>
<li><p>Calculating antimicrobial resistance</p></li>
<li><p>Determining multi-drug resistance (MDR) / multi-drug resistant organisms (MDRO)</p></li>
<li><p>Calculating empirical susceptibility of both mono therapy and combination therapy</p></li>
<li><p>Calculating (empirical) susceptibility of both mono therapy and combination therapies</p></li>
<li><p>Predicting future antimicrobial resistance using regression models</p></li>
<li><p>Getting properties for any microorganism (like Gram stain, species, genus or family)</p></li>
<li><p>Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)</p></li>
<li><p>Getting properties for any antibiotic (like name, EARS-Net code, ATC code, PubChem code, defined daily dose or trade name)</p></li>
<li><p>Plotting antimicrobial resistance</p></li>
<li><p>Determining first isolates to be used for AMR analysis</p></li>
<li><p>Applying EUCAST expert rules</p></li>
<li><p>Descriptive statistics: frequency tables, kurtosis and skewness</p></li>
</ul>
<h2 class="hasAnchor" id="authors"><a class="anchor" href="#authors"></a>Authors</h2>
<p>Matthijs S. Berends[1,2] Christian F. Luz[1], Erwin E.A. Hassing[2], Corinna Glasner[1], Alex W. Friedrich[1], Bhanu N.M. Sinha[1] <br /></p>
<p>[1] Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands - <a href='https://www.rug.nl'>https://www.rug.nl</a> <a href='https://www.umcg.nl'>https://www.umcg.nl</a> <br />
[2] Certe Medical Diagnostics &amp; Advice, Groningen, the Netherlands - <a href='https://www.certe.nl'>https://www.certe.nl</a></p>
<h2 class="hasAnchor" id="read-more-on-our-website-"><a class="anchor" href="#read-more-on-our-website-"></a>Read more on our website!</h2>
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<h2>Contents</h2>
<ul class="nav nav-pills nav-stacked">
<li><a href="#details">Details</a></li>
<li><a href="#authors">Authors</a></li>
<li><a href="#read-more-on-our-website-">Read more on our website!</a></li>
<li><a href="#contact-us">Contact us</a></li>
</ul>