Function reference • antibioticR

All functions
`abr_baseclass`	Classes of package antibioticR ...
`abr_density()` `abr_cumdens()` `abr_density.control()` `abr_cumdensquant()` `maxdens()`	Kernel Density Estimate for ZD and MIC data
`obs()` `coef(<abr_baseclass>)` `fit(<abr_baseclass>)` `deviance(<abr_baseclass>)` `residuals(<abr_baseclass>)` `df.residual(<abr_baseclass>)` `startpar(<abr_ecoffinder>)` `models(<abr_ecoffinder>)` `ecoff(<abr_ecoffinder>)` `rsquared(<abr_ecoffinder>)`	Accessor Methods of Package antibioticR.
`abr_quantile()`	Normal Quantiles of Wild Type Population Identified with Ecoffinder
`summary(<abr_baseclass>)` `summary(<abr_ecoffinder>)`	Summary of an 'abr_ecoffinder' Object
`antibioticR-internal`	Internal Functions of the 'antibioticR' Package
`antibioticR-package`	Analysis of Antbiotic Resistance Data
`ECOFFinder()`	Launch antibioticR App ECOFFinder
`ecoffinder_nls()`	Find Cutoff Value by Nonlinear Regression to Truncated Data
`ecoffinder_startpar()`	Start Values for ECOFFinder
`fit_unimix()` `fit_n()` `fit_en()` `fit_nn()` `fit_enn()` `fit_nnn()` `fit_nnnn()` `fit_ennn()` `fit_ennnn()` `fit_nnnnn()` `fit_ennnnn()`	Fit of Normal and Exponential-Normal Mixtures to Binned Data
`micdata`	Minimum Inhibitory Concentration (MIC) Data
`mixParmDf2parmlist()`	Convert Parameters in data frame format to a paremeter list ...
`diagnostics()`	Diagnostics of Mixture Objects Fitted with 'mle2'
`mxMle-class`	Mixture Distribution Object Containing an 'mle2' fit as Subobject
`mxObj-class`	Class of Univariate Mixture Distribution Components and its Parameters
`as.mxObj()` `as.list(<mxObj>)` `as.vector(<mxObj>)`	Coercion Methods for 'mxObj' Univariate Mixture Objects
`fit()` `ecoff()` `rsquared()` `startpar()` `models()` `coef(<mxObj>)` `pstart()` `summary(<mxMle>)` `vcov(<mxMle>)` `AIC(<mxMle>)` `logLik(<mxMle>)` `get_data()` `mxObj()`	Methods for 'mxObj' Univariate Mixture Objects
`mx_compare()`	Compare Fitted Mixture Distribution to Data
`mx_guess_components()`	Initial Guess of Univariate Mixture Components
`mx_metafit()`	Fit Mixture Distribution to Data and Evaluate Results
`mx_parmlist_sort()` `mx_parmlist_select()` `mx_intermediate()` `mx_wildtype()` `mx_select()` `mx_subset()`	Sort and Select Distribution Components
`mx_plot()`	Plot Components of Mixture Distribution
`results()`	Quantiles and Results of Mixture Objects Fitted with 'mle2'
`nls-class`	Helper Classes
`parmList()`	Convert Parameter Vector to List
`peakwindow()`	Identify Peaks in Multimodal Density Curves and Time Series
`plot(<abr_ecoffinder>,<ANY>)`	Plot Fitted abrECOFFinder Object
`reformat_eucast()`	Reformat EUCAST crosstabe format into data base formats
`turnpoints()`	Find turning points (peaks or pits) Determine the number and the position of extrema (turning points, either peaks or pits) in a regular time series.
`unbin()`	Unbin Data Frame
`dunimix()` `punimix()` `runimix()`	Univariate Mixtures of Exponential, Normal and Gamma Distributions
`weighted.sd()`	Weighted Standard Deviation
`zd_main_components()`	Extract Main Components from Zone Diameter (ZD) Mixture Distribution

Reference

All functions