MIC: Analysis of Antimicrobial Minimum Inhibitory Concentration Data (original) (raw)
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 |
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 formhttps://CRAN.R-project.org/package=MICto link to this page.