distreg.vis {distreg.vis} | R Documentation |
distreg.vis: Interactively visualizing distributional regression models
Description
The package distreg.vis
is a framework for the visualization of
distributional regression models estimated with the R packages bamlss
,
gamlss
and betareg
. Current supported model classes can be
found under distreg_checker.
Details
The main functions are:
-
vis()
: Starts the Graphical User Interface. -
moments()
: Obtain predicted moments of the target distribution based on user-specified values of the explanatory variables. -
plot_dist()
: Create a graph displaying the predicted probability density function or cumulative density function based on the same user-specified values. -
plot_moments()
: View the marginal influence of a selected effect on the predicted moments of the target distribution.
To get a feel for the main capabilities of distreg.vis
, you can run
the examples or the demo called vis-demo.R
which fits a couple of
distributional regression models and then calls the Graphical User Interface.
For the main functions, certain target distributions from both bamlss
and gamlss
are supported. Check the distreg.vis::dists
dataset
to find out which distributions are supported for plot_dist()
(column
implemented
) and which are also supported for plot_moments()
(column moment_funs
).
To make the process of interpreting fitted distributional regression models
as easy as possible, distreg.vis
features a rich Graphical User
Interface (GUI) built on the shiny
framework. Using this GUI, the user
can (a) obtain an overview of the selected model fit, (b) easily select
explanatory values for which to display the predicted distributions, (c)
obtain marginal influences of selected covariates and (d) change aesthetical
components of each displayed graph. After a successful analysis, the user can
quickly obtain the R code needed to reproduce all displayed plots, without
having to start the application again.
Maintainer:
Stanislaus Stadlmann, stadlmann@uni-goettingen.de