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# `AMR` (for R) <img src="man/figures/logo.png" align="right" height="120px" />
# `AMR` (for R) <img src="./logo.png" align="right" height="120px" />
*(<help title="Too Long, Didn't Read">TLDR</help> - to find out how to conduct AMR analysis, please [continue reading here to get started](./articles/AMR.html).*
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`AMR` is a free and open-source [R package](https://www.r-project.org) to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods.
We created this package for academic research 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 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. Read further about our GPL-2 licence [here](./LICENSE-text.html).
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 Licence version 2.0 (GPL-2), as published by the Free Software Foundation. Read the full licence [here](./LICENSE-text.html).
This package can be used for:
* Calculating antimicrobial resistance
* Predicting antimicrobial resistance using regression models
* Getting properties for any microorganism (like Gram stain, species, genus or family)
* Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)
* Plotting antimicrobial resistance
* Determining first isolates to be used for AMR analysis
* Applying EUCAST rules
* Determining multi-drug resistance organisms (MDRO)
* Descriptive statistics: frequency tables, kurtosis and skewness
This package is ready-to-use for a professional environment by specialists in the following fields:
Medical Microbiology:
Medical Microbiology
* Epidemiologists (both clinical microbiological and research)
* Research Microbiologists
@ -19,18 +31,18 @@ Medical Microbiology:
* Research Pharmacologists
* Data Scientists / Data Analysts
Veterinary Microbiology:
Veterinary Microbiology
* Research Veterinarians
* Veterinary Epidemiologists
Microbial Ecology:
Microbial Ecology
* Soil Microbiologists
* Extremophile Researchers
* Astrobiologists
Developers:
Developers
* Package developers for R
* Software developers