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distreg.vis (version 1.7.1)

Framework for the Visualization of Distributional Regression Models

Description

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.

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Install

install.packages('distreg.vis')

Monthly Downloads

106

Version

1.7.1

License

GPL-3

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Maintainer

Stanislaus Stadlmann

Last Published

February 18th, 2021

Functions in distreg.vis (1.7.1)

distreg_checker

Check if model class is supported
ex_f

External Function Implementer
distreg.vis

distreg.vis: Interactively visualizing distributional regression models
fac_check

Factor Checker
is.betareg

Internal: Is betareg family?
dists

Information about supported and not yet supported distribution families
fac_equ

Factor Equalizer
is.continuous

Internal: Continuous/Mixed Distribution checker
bad_range_warning

expl_vars

Internal: Function to obtain all explanatory variables used to fit a model, without the dependent variables
is.distreg.fam

Internal: Is distreg family
formula_printer

Model formulas printer
is.discrete

Internal: Discrete Distribution Checker
f_disp

Model distribution family display-er
gamlss_data_cleaner

GAMLSS expl_data cleaner
disc_trans

Internal: Transform discrete predictions into a usable df
reshape_into_long

Internal: Reshape into Long Format
fam_obtainer

Internal: Family obtainer
fam_fun_getter

Obtain d&p&q functions
limits

Internal: Plot limit getter
pdfcdf_continuous

Internal: Create the pdf/cdf for continuous covariates
has.moments

Internal: Distributional Moments implementation checker
link_printer

Model link functions printer
model_data

Model data getter
lims_getter

Internal: Upper- and lower limit of distribution getter
is.bamlss

Internal: Is bamlss family?
is.gamlss

Internal: Is gamlss family?
is.implemented

Internal: Distribution Implementation Checker
pdfcdf_discrete

Internal: Create the pdf/cdf for discrete covariates
plot_moments

Plot function: Display the influence of a covariate
plot_multinom_exp

Internal: Plot function as sub-case to plot_moments for multinomial family
plot_dist

Plot predicted distributional regression models
preds

Predict parameters of a distreg models' target distribution
preds_transformer

Sample transformer
search_distreg

distreg Searcher
mult_trans

Internal: Function to transform multinomial predictions
vis

distreg.vis function
model_fam_data

Create a dataset to fit models with all possible families in distreg packages
set_mean

Obtain mean values and reference categories of variables in a data.frame
search_funs

function Searcher
moments

Compute distributional moments from the parameters
quants

Get quantile limits of a distribution
range_checker

Internal: Function that checks whether chosen covariate combinations are in the range of original data. Returns true when there is a cov comb outside of data.
tidy_c

Function for better use of formatR's tidy_source
type_getter

Internal: Limit type getter