AMR: Antimicrobial Resistance Data Analysis

Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods and reliable reference data such as LPSN <doi:10.1099/ijsem.0.004332>.

Version: 1.7.1
Depends: R (≥ 3.0.0)
Suggests: cleaner, curl, dplyr, ggplot2, ggtext, knitr, microbenchmark, pillar, readxl, rmarkdown, rstudioapi, rvest, skimr, tidyr, tinytest, xml2
Published: 2021-06-03
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 umcg.nl>
BugReports: https://github.com/msberends/AMR/issues
License: GPL-2 | file LICENSE
URL: https://msberends.github.io/AMR/, https://github.com/msberends/AMR
NeedsCompilation: no
Citation: AMR citation info
Materials: README NEWS
CRAN checks: AMR results

Downloads:

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_1.7.1.tar.gz
Windows binaries: r-devel: AMR_1.7.1.zip, r-release: AMR_1.7.1.zip, r-oldrel: AMR_1.7.1.zip
macOS binaries: r-release (arm64): AMR_1.7.1.tgz, r-release (x86_64): AMR_1.7.1.tgz, r-oldrel: AMR_1.7.1.tgz
Old sources: AMR archive

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