# Antimicrobial Resistance Analysis • AMR (for R)
Functions to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods.

# `AMR` (for R)

(TLDR - to find out how to conduct AMR analysis, please continue reading here to get started.

`AMR` is a free and open-source R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic 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). We released this under the GNU General Public Licence v2.0 (GPL-2) which makes it free for everybody to use and distribute, for personal and commercial use, but it may not be used for patent purposes. Read further about our GPL-2 licence here.

This package is ready-to-use for a professional environment by specialists in the following fields:

- Medical Microbiology
  - Epidemiologists (both clinical microbiological and research)
  - Research Microbiologists
  - Biomedical Researchers
  - Research Pharmacologists
- Veterinary Microbiology
  - Research Veterinarians
  - Veterinary Epidemiologists
  - Biomedical Researchers
- Microbial Ecology
  - Soil Microbiologists
  - Extremophile Researchers
  - Astrobiologists
- Other specialists in any of the above fields:
  - Data Scientists/Data Analysts
  - Biotechnologists
  - Biochemists
  - Geneticists
  - Molecular Biologists/Microbiologists
- Developers
  - Package developers for R
  - Software developers
  - Web application developers

### Get this package

This package is available on the official R network. Install this package in R with:

    install.packages("AMR")

It will be downloaded and installed automatically.

### Get started

To find out how to conduct AMR analysis, please continue reading here to get started or click the button ‘Get Started’ in the top menu.