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