AMR: Antimicrobial Resistance 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 the Clinical and Laboratory Standards Institute (2014) <isbn: 1-56238-899-1>.

Version: 0.8.0
Depends: R (≥ 3.1.0)
Imports: backports, clean (≥ 1.1.0), crayon (≥ 1.3.0), data.table (≥ 1.9.0), dplyr (≥ 0.7.0), ggplot2, knitr (≥ 1.0.0), microbenchmark, pillar, rlang (≥ 0.3.1), tidyr (≥ 0.7.0)
Suggests: covr (≥ 3.0.1), curl, readxl, rmarkdown, rstudioapi, rvest (≥ 0.3.2), testthat (≥ 1.0.2), xml2 (≥ 1.0.0)
Published: 2019-10-15
Author: Matthijs S. Berends ORCID iD [aut, cre], Christian F. Luz ORCID iD [aut, ctb], Alex 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], Annick Lenglet [ctb], Bart C. Meijer [ctb], Dennis Souverein [ctb]
Maintainer: Matthijs S. Berends <m.s.berends at>
License: GPL-2 | file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: AMR results


Reference manual: AMR.pdf
Vignettes: How to conduct AMR analysis
How to apply EUCAST rules
How to determine multi-drug resistance (MDR)
How to work with WHONET data
How to predict antimicrobial resistance
Package source: AMR_0.8.0.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: AMR_0.8.0.tgz, r-oldrel: AMR_0.7.1.tgz
Old sources: AMR archive


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