AMR/man/AMR.Rd

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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/amr.R
\name{AMR}
\alias{AMR}
\title{The \code{AMR} Package}
\description{
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Welcome to the \code{AMR} package.
}
\details{
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\code{AMR} 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.
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 & 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.
This package can be used for:
\itemize{
\item{Reference for the taxonomy of microorganisms, since the package contains all microbial (sub)species from the Catalogue of Life}
\item{Interpreting raw MIC and disk diffusion values, based on the latest CLSI or EUCAST guidelines}
\item{Determining first isolates to be used for AMR analysis}
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\item{Calculating antimicrobial resistance}
\item{Determining multi-drug resistance (MDR) / multi-drug resistant organisms (MDRO)}
\item{Calculating (empirical) susceptibility of both mono therapy and combination therapies}
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\item{Predicting future antimicrobial resistance using regression models}
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\item{Getting properties for any microorganism (like Gram stain, species, genus or family)}
\item{Getting properties for any antibiotic (like name, EARS-Net code, ATC code, PubChem code, defined daily dose or trade name)}
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\item{Plotting antimicrobial resistance}
\item{Applying EUCAST expert rules}
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}
}
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\section{Read more on our website!}{
On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
\section{Contact us}{
For suggestions, comments or questions, please contact us at:
Matthijs S. Berends \cr
m.s.berends [at] umcg [dot] nl \cr
Department of Medical Microbiology, University of Groningen \cr
University Medical Center Groningen \cr
Post Office Box 30001 \cr
9700 RB Groningen
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The Netherlands
If you have found a bug, please file a new issue at: \cr
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\url{https://gitlab.com/msberends/AMR/issues}
}