Analyse, plot, and tabulate antimicrobial minimum inhibitory concentration (MIC) data. Validate the results of an MIC experiment by comparing observed MIC values to a gold standard assay, in line with standards from the International Organization for Standardization (2021) <https://www.iso.org/standard/79377.html>. Perform MIC prediction from whole genome sequence data stored in the Pathosystems Resource Integration Center (2013) <doi:10.1093/nar/gkt1099> database or locally.
Version: 1.1.0 Depends: R (≥ 4.1.0) Imports: AMR, glue, readr, dplyr, Rcpp, data.table, Biostrings, stringr, rlang, tidyr, future.apply, progressr, lemon, ggplot2, forcats, purrr, tibble LinkingTo: Rcpp Suggests: testthat (≥ 3.0.0), xgboost, flextable, caret, lifecycle, future Published: 2025-06-05 DOI: 10.32614/CRAN.package.MIC Author: Alessandro Gerada [aut, cre, cph] Maintainer: Alessandro Gerada <alessandro.gerada at liverpool.ac.uk> BugReports: https://github.com/agerada/MIC/issues License: GPL (≥ 3) URL: https://github.com/agerada/MIC NeedsCompilation: yes Materials: README NEWS CRAN checks: MIC results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MIC to link to this page.
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