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MIC: Analysis of Antimicrobial Minimum Inhibitory Concentration Data

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: 1.0.2
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: 2025-02-07
DOI: 10.32614/CRAN.package.MIC
Author: Alessandro Gerada ORCID iD [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:

Reference manual: MIC.pdf

Downloads:

Package source: MIC_1.0.2.tar.gz
Windows binaries: r-devel: MIC_1.0.2.zip, r-release: MIC_1.0.2.zip, r-oldrel: MIC_1.0.2.zip
macOS binaries: r-devel (arm64): MIC_1.0.2.tgz, r-release (arm64): MIC_1.0.2.tgz, r-oldrel (arm64): not available, r-devel (x86_64): MIC_1.0.2.tgz, r-release (x86_64): MIC_1.0.2.tgz, r-oldrel (x86_64): MIC_1.0.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MIC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.