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\alias{AMR}
\title{The \code{AMR} Package}
\description{
Welcome to the \code{AMR} package. This page gives some additional contact information about the authors.
Welcome to the \code{AMR} package.
}
\details{
This package was intended to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods.
\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.
This package was created for both academic research and routine analysis by PhD students of 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).
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{Calculating antimicrobial resistance}
\item{Predicting antimicrobial resistance using regression models}
\item{Getting properties for any microorganism (like Gram stain, species, genus or family)}
\item{Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)}
\item{Plotting antimicrobial resistance}
\item{Determining first isolates to be used for AMR analysis}
\item{Applying EUCAST rules}
\item{Determining multi-drug resistance organisms (MDRO)}
\item{Descriptive statistics: frequency tables, kurtosis and skewness}
}
\section{Read more on our website!}{
\if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a omprehensive tutorial} about how to conduct AMR analysis and find \href{https://msberends.gitlab.io/AMR/reference}{the complete documentation of all functions}, which reads a lot easier than in R.
}
\section{Authors}{
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] \cr
@ -25,6 +32,12 @@ Matthijs S. Berends[1,2] Christian F. Luz[1], Erwin E.A. Hassing[2], Corinna Gl
[2] Certe Medical Diagnostics & Advice, Groningen, the Netherlands - \url{certe.nl}
}
\section{Read more on our website!}{
\if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive 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}.
}
\section{Contact us}{
For suggestions, comments or questions, please contact us at: