1
0
mirror of https://github.com/msberends/AMR.git synced 2024-12-27 11:26:11 +01:00
AMR/man/AMR.Rd

57 lines
3.1 KiB
Plaintext
Raw Normal View History

% Generated by roxygen2: do not edit by hand
2019-02-21 18:55:52 +01:00
% Please edit documentation in R/amr.R
\name{AMR}
\alias{AMR}
\title{The \code{AMR} Package}
\description{
2019-01-29 20:20:09 +01:00
Welcome to the \code{AMR} package.
}
\details{
2019-01-29 20:20:09 +01:00
\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{
2019-02-21 18:55:52 +01:00
\item{Reference for microorganisms, since it contains almost all 60,000 microbial (sub)species from the Catalogue of Life}
2019-01-29 20:20:09 +01:00
\item{Calculating antimicrobial resistance}
2019-02-21 18:55:52 +01:00
\item{Calculating empirical susceptibility of both mono therapy and combination therapy}
\item{Predicting future antimicrobial resistance using regression models}
2019-01-29 20:20:09 +01:00
\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}
2019-02-21 18:55:52 +01:00
\item{Applying EUCAST expert rules (not the translation from MIC to RSI values)}
\item{Determining multi-drug resistant organisms (MDRO)}
2019-01-29 20:20:09 +01:00
\item{Descriptive statistics: frequency tables, kurtosis and skewness}
}
2019-01-02 23:24:07 +01:00
}
\section{Authors}{
2019-01-02 23:24:07 +01:00
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
[1] Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands - \url{rug.nl} \url{umcg.nl} \cr
[2] Certe Medical Diagnostics & Advice, Groningen, the Netherlands - \url{certe.nl}
}
2019-01-29 20:20:09 +01:00
\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 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:
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
If you have found a bug, please file a new issue at: \cr
2018-10-29 17:26:17 +01:00
\url{https://gitlab.com/msberends/AMR/issues}
}