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using evidence-based methods, like those defined by Leclercq et al. (2013)
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<doi:10.1111/j.1469-0691.2011.03703.x> and the Clinical and Laboratory
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Standards Institute (2014) <isbn: 1-56238-899-1>.">
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<meta property="og:image" content="https://msberends.gitlab.io/AMR/logo.svg">
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<meta property="og:image" content="https://msberends.github.io/AMR/logo.svg">
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<!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
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<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
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</button>
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<span class="navbar-brand">
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<a class="navbar-link" href="index.html">AMR (for R)</a>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.2.0.9025</span>
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<span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Latest development version">1.2.0.9026</span>
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</span>
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</div>
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</ul>
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<ul class="nav navbar-nav navbar-right">
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<li>
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<a href="https://gitlab.com/msberends/AMR">
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<span class="fab fa fab fa-gitlab"></span>
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<a href="https://github.com/msberends/AMR">
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<span class="fab fa fab fa-github"></span>
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Source Code
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</a>
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@ -199,8 +199,8 @@ A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/
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<a href="#what-is-amr-for-r" class="anchor"></a>What is <code>AMR</code> (for R)?</h3>
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<p><em>(To find out how to conduct AMR analysis, please <a href="./articles/AMR.html">continue reading here to get started</a>.)</em></p>
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<p><code>AMR</code> is a free, open-source and independent <a href="https://www.r-project.org">R package</a> to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial data and properties, by using evidence-based methods. <strong>Our aim is to provide a standard</strong> for clean and reproducible antimicrobial resistance data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting.</p>
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<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~70,000 distinct microbial species</strong></a> and all <a href="./reference/antibiotics.html"><strong>~550 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, LOINC and SNOMED CT), and knows all about valid R/SI and MIC values. It supports any data format, including WHONET/EARS-Net data.</p>
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<p>This package was created for both routine data analysis and academic research, at the Faculty of Medical Sciences of the University of Groningen, the Netherlands, and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is <a href="./news">actively maintained</a> and is free software (see <a href="#copyright">Copyright</a>). It is fully independent of any other R package, works with all versions of R since R-3.0.0 (April 2013) and has a total file size of only 5 MB. It was designed to work in any setting, including those with very limited resources.</p>
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<p>After installing this package, R knows <a href="./reference/microorganisms.html"><strong>~70,000 distinct microbial species</strong></a> and all <a href="./reference/antibiotics.html"><strong>~550 antibiotic, antimycotic and antiviral drugs</strong></a> by name and code (including ATC, EARS-NET, LOINC and SNOMED CT), and knows all about valid R/SI and MIC values. It supports any data format, including WHONET/EARS-Net data.</p>
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<p>This package is fully independent of any other R package and works on Windows, macOS and Linux with all versions of R since R-3.0.0 (April 2013). <strong>It was designed to work in any setting, including those with very limited resources</strong>. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the <a href="https://www.rug.nl">University of Groningen</a>, in collaboration with non-profit organisations <a href="https://www.certe.nl">Certe Medical Diagnostics and Advice</a> and <a href="https://www.umcg.nl">University Medical Center Groningen</a>. This R package is <a href="./news">actively maintained</a> and is free software (see <a href="#copyright">Copyright</a>).</p>
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<div class="main-content">
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<p>
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<a href="./countries_large.png" target="_blank"><img src="./countries.png" class="countries_map"></a> <strong>Used in more than 100 countries</strong><br> Since its first public release in early 2018, this package has been downloaded from more than 100 countries <small>(source: <a href="https://cran-logs.rstudio.com" target="_blank">CRAN logs</a>)</small>. Click the map to enlarge, to see the names of the countries.
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@ -371,9 +371,9 @@ A methods paper about this package has been preprinted at bioRxiv (DOI: 10.1101/
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<ul class="list-unstyled">
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<li>Download from CRAN at <br><a href="https://cloud.r-project.org/package=AMR">https://cloud.r-project.org/package=AMR</a>
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</li>
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<li>Browse source code at <br><a href="https://gitlab.com/msberends/AMR/">https://gitlab.com/msberends/AMR/</a>
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<li>Browse source code at <br><a href="https://github.com/msberends/AMR/">https://github.com/msberends/AMR/</a>
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</li>
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<li>Report a bug at <br><a href="https://gitlab.com/msberends/AMR/issues">https://gitlab.com/msberends/AMR/issues</a>
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<li>Report a bug at <br><a href="https://github.com/msberends/AMR/issues">https://github.com/msberends/AMR/issues</a>
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</li>
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</ul>
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</div>
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