Framework for the Visualization of Distributional Regression Models
Internal: Function that constructs a warning message for the user when...
Internal: Transform discrete predictions into a usable df
distreg.vis: Interactively visualizing distributional regression model...
Check if model class is supported
External Function Implementer
Model distribution family display-er
Factor Checker
Factor Equalizer
Obtain d&p&q functions
Internal: Family obtainer
Model formulas printer
GAMLSS expl_data cleaner
Internal: Distributional Moments implementation checker
Internal: Is bamlss family?
Internal: Is betareg family?
Internal: Continuous/Mixed Distribution checker
Internal: Discrete Distribution Checker
Internal: Is distreg family
Internal: Is gamlss family?
Internal: Distribution Implementation Checker
Internal: Plot limit getter
Internal: Upper- and lower limit of distribution getter
Model link functions printer
Model data getter
Create a dataset to fit models with all possible families in distreg p...
Compute distributional moments from the parameters
Internal: Function to transform multinomial predictions
Internal: Create the pdf/cdf for continuous covariates
Internal: Create the pdf/cdf for discrete covariates
Plot predicted distributional regression models
Plot function: Display the influence of a covariate
Internal: Plot function as sub-case to plot_moments for multinomial fa...
Predict parameters of a distreg models' target distribution
Sample transformer
Get quantile limits of a distribution
Internal: Function that checks whether chosen covariate combinations a...
Internal: Reshape into Long Format
distreg Searcher
function Searcher
Obtain mean values and reference categories of variables in a data.fra...
Function for better use of formatR's tidy_source
Internal: Limit type getter
distreg.vis function
Functions for visualizing distributional regression models fitted using the 'gamlss', 'bamlss' or 'betareg' R package. The core of the package consists of a 'shiny' application, where the model results can be interactively explored and visualized.