R: Analysis of Antimicrobial Minimum Inhibitory Concentration Data

# Analysis of Antimicrobial Minimum Inhibitory Concentration Data

## Documentation for package ‘MIC’ version 2.0.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

as.sir_vectorised | Convert MIC or Disk Diffusion to SIR, vectorised over antimicrobials
bias | Calculate MIC bias
clean_raw_mic | Clean up raw MIC for use as a feature
compare_mic | Compare and validate MIC values
compare_sir | Compare SIR results and generate categorical agreement
droplevels.mic_validation | Droplevels for MIC validation object
ecoffs | ECOFF data
essential_agreement | Essential agreement for MIC validation
example_mics | Example MIC data
fill_dilution_levels | Fill MIC dilution levels
force_mic | Force MIC-like into MIC-compatible format
get_mic | Get MIC meta-data from feature database
mic_censor | Censor MIC values
mic_range | Generate dilution series
mic_r_breakpoint | R breakpoint for MIC
mic_s_breakpoint | S breakpoint for MIC
mic_uncensor | Uncensor MICs
plot.mic_validation | Plot MIC validation results
print.mic_validation | Print MIC validation object
print.mic_validation_summary | Print MIC validation summary
qc_in_range | Check that MIC is within QC range
qc_on_target | Check that QC measurement is at the required target *[Experimental]*
standardise_mic | Standardise MIC to control strain *[Experimental]*
subset.mic_validation | Subset MIC validation object
summary.mic_validation | Summary of MIC validation results
table | Table
table.default | Table
table.mic_validation | Table