AMR: Antimicrobial Resistance Data Analysis

Functions to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods, like those defined by Leclercq et al. (2013) <doi:10.1111/j.1469-0691.2011.03703.x> and containing reference data such as LPSN <doi:10.1099/ijsem.0.004332>.

Version: 1.6.0
Depends: R (≥ 3.0.0)
Suggests: cleaner, curl, dplyr, ggplot2, knitr, microbenchmark, pillar, readxl, rmarkdown, rstudioapi, rvest, skimr, testthat, tidyr, xml2
Published: 2021-03-15
Author: Matthijs S. Berends ORCID iD [aut, cre], Christian F. Luz ORCID iD [aut, ctb], Alexander W. Friedrich ORCID iD [aut, ths], Bhanu N. M. Sinha ORCID iD [aut, ths], Casper J. Albers ORCID iD [aut, ths], Corinna Glasner ORCID iD [aut, ths], Judith M. Fonville [ctb], Erwin E. A. Hassing [ctb], Eric H. L. C. M. Hazenberg [ctb], Gwen Knight [ctb], Annick Lenglet [ctb], Bart C. Meijer [ctb], Sofia Ny [ctb], Rogier P. Schade [ctb], Dennis Souverein [ctb], Anthony Underwood [ctb]
Maintainer: Matthijs S. Berends <m.s.berends at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Citation: AMR citation info
Materials: README NEWS
CRAN checks: AMR results


Reference manual: AMR.pdf
Vignettes: How to conduct AMR data analysis
How to determine multi-drug resistance (MDR)
Data sets for download / own use
Welcome to the AMR package
Package source: AMR_1.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: AMR_1.6.0.tgz, r-oldrel: AMR_1.6.0.tgz
Old sources: AMR archive


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