Function reference • foehnix

Main foehnix functions
`foehnix()` `logLik(<foehnix>)` `nobs(<foehnix>)` `AIC(<foehnix>)` `BIC(<foehnix>)` `IGN(<foehnix>)` `edf(<foehnix>)` `print(<foehnix>)` `formula(<foehnix>)` `summary(<foehnix>)`	Foehn Classification Based on a Two-Component Mixture Model
`foehnix.control()`	foehnix Two-Component Mixture-Model Control Object
`foehnix.noconcomitant.fit()`	Fitting foehnix Mixture Model Without Concomitant Model.
`foehnix.unreg.fit()`	Fitting Unregularized foehnix Mixture Model With Concomitant Model.
`foehnix.reg.fit()`	Fitting Regularized foehnix Mixture Model With Concomitant Model.
`foehnix_filter()` `print(<foehnix.filter>)`	Evaluates Data Filter Rules for foehnix Mixture Moel Calls
`plot(<foehnix>)`	foehnix Model Assessment Plots
`coef(<foehnix>)`	Get Estimated Mixture Model Coefficients
Demo Data Sets
`demodata()`	foehnix Demo Data Set
Support functions
`write.csv()`	Data Output
`write.csv(<foehnix>)`	Write Estimated Probabilities to CSV File
`fitted(<foehnix>)`	Returns Fitted Values of foehnix Mixture Models
`predict(<foehnix>)`	Predict Method for foehnix Mixture Models
`iwls_logit()` `coef(<ccmodel>)` `logLik(<ccmodel>)` `AIC(<ccmodel>)` `BIC(<ccmodel>)` `edf(<ccmodel>)` `summary(<ccmodel>)`	IWLS Solver for Binary Logistic Regression Model
`image(<foehnix>)`	foehnix Image Plot - Hovmoeller Diagram
`windrose()`	Windrose Plot for foehnix Mixture Models and Observations
`windrose(<default>)`	Default Wind Rose Plot
`tsplot()`	Time Series Plot of foehnix Models
`tsplot.control()` `tsplot_get_control()`	foehnix Time Series Plot Config
`add_polygon()`	Add Polygon to Plot
`ddff2uv()`	Convert Wind Speed and Wind Direction to u/v Wind Components
`uv2ddff()`	Convert u and v Wind Components to Wind Speed and Wind Direction
`center()`	Extract Values used for Standardization (scaled:center)
`standardize()` `scale(<standardized>)` `destandardize(<standardized>)` `destandardize_coefficients()`	Standardize (Model) Matrix
`destandardize()`	Destandardize a Standardized Matrix
Additional functions
`IGN()`	Returns the Ignorance of an Object
`edf()`	Returns Effective Degrees of Freedom
`print(<foehnix.family>)` `is.truncated()` `has.left()` `has.left()` `foehnix_logistic()` `foehnix_clogistic()` `foehnix_tlogistic()` `foehnix_gaussian()` `foehnix_cgaussian()` `foehnix_tgaussian()`	foehnix Families for Two-Component Mixture Models
`foehnix_glmnet()`	Wrapper Function Around glmnet Logistic Regression
`glmnet.control()` `print(<glmnet.control>)`	Control Object to Allow for Regularized Concomitant Models
`is.standardized()`	Check if Matrix is Standardized
`windrose_add_windsector()`	Adding Wind Sector for Windrose Plots
`windrose_get_cols()`	Get Color Matrix and Legend for Windrose Plot
`windrose_get_counts()`	Get Count Matrix for Windrose Plot
`windrose_get_density()`	Get Density Matrix for Windrose Plot
`windsector_convert()`	Convert input "windsector" to list if needed

Reference

Main foehnix functions

Demo Data Sets

Support functions

Additional functions