dr. M.S. (Matthijs) BerendsandClaude Opus 5.5
d683b9e7c6
- data-raw/microorganisms_files/: registry of all MO codes of every release since v2.0.0 (78,992 codes, built from the git tags), approved renames, and README with the rules; decision by Matthijs S. Berends: MO codes from before v2.0.0 are not supported - as.mo(): codes of earlier releases are translated deterministically via the internal MO_RETIRED_CODES (generated from the registry); unknown codes are no longer guessed (previously F_TRCHP, Trichophyton in v3.0.1, became Talaromyces chlamydosporus) - synonym_mo_to_accepted_mo(): a missing target of one source no longer overwrites a valid target of another source (e.g. Chaetomium abuense), and no 'renamed to itself' - taxonomy build: codes are reused and reserved from the registry instead of the development data (fixes 40 codes reused in the 2026 development data), also for phylum to family; synonym cycles are broken; dangling 'renamed to' identifiers are removed; the build stops on any broken integrity rule before saving - run_microorganisms_build.R: runs the build in chunks at its checkpoints in one R process, with progress logging and resuming from any checkpoint; prompt updated accordingly - tests: shared integrity rules (helper-microorganisms.R) used by build and testthat, registry tests over all codes, sentinel organisms, regression tests; current defects of the data on main are listed in microorganisms_known_defects.csv until the next rebuild Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The AMR Package for R
Please visit our comprehensive package website https://amr-for-r.org to read more about this package, including many examples and tutorials.
Overview:
- Provides an all-in-one solution for antimicrobial resistance (AMR) data analysis in a One Health approach
- Peer-reviewed, used in over 175 countries, cited over 100 times, available in 28 languages
- Generates antibiograms - WISCA for empiric coverage estimates, or traditional/syndromic for AMR surveillance
- Provides the full microbiological taxonomy of ~97 000 distinct species and extensive info of ~620 antimicrobial drugs
- Applies CLSI 2011-2026 and EUCAST 2011-2026 clinical and veterinary breakpoints, and ECOFFs, for MIC and disk zone interpretation
- Corrects for duplicate isolates, calculates and predicts AMR per antimicrobial class
- Integrates with WHONET, ATC, EARS-Net, PubChem, LOINC, SNOMED CT, and NCBI
- 100% free of costs and dependencies, highly suitable for places with limited resources
The AMR package is a peer-reviewed, free and open-source R package
with zero dependencies to simplify the analysis and prediction of
Antimicrobial Resistance (AMR) and to work with microbial and
antimicrobial data and properties, by using evidence-based methods.
Our aim has always been to provide a standard for clean and reproducible AMR data analysis, that can therefore empower epidemiological analyses to continuously enable surveillance and treatment evaluation in any setting.
The AMR package supports and can read any data format, including
WHONET data. This package works on Windows, macOS and Linux with all
versions of R since R-3.0 (April 2013). It was designed to work in any
setting, including those with very limited resources. It was created
for both routine data analysis and academic research at the Faculty of
Medical Sciences of the University of Groningen
and the University Medical Center Groningen.
How to get this package
To install the latest ‘release’ version from CRAN:
install.packages("AMR")
To install the latest ‘beta’ version:
install.packages("AMR", repos = "beta.amr-for-r.org")
If this does not work, try to install directly from GitHub using the
remotes package:
remotes::install_github("msberends/AMR")
This AMR package for R is free, open-source software and licensed under the GNU General Public License v2.0 (GPL-2). These requirements are consequently legally binding: modifications must be released under the same license when distributing the package, changes made to the code must be documented, source code must be made available when the package is distributed, and a copy of the license and copyright notice must be included with the package.