runVRPMexample: Run R Shiny app

In VRPM: Visualizing Risk Prediction Models

Description

Run a selected R Shiny application to illustrate the working of the VRPM package.

Usage

runVRPMexample(example)

Arguments

example

The name of the application that should be loaded. example should be one of "IntermittentClaudication", "Iris", "Pima" or "xsnz".

Details

Different applications are possible. To illustrate the visualization of a logistic regression model, an application on the Intermittent Claudication model (see references) can be loaded using example= "IntermittentClaudication". Two illustrations for the visualization of support vector machine classifiers can be loaded using example="Iris" and example="Pima". To illustrate the possibilities for visualizing multinomial logistic regression models, use example="xsnz".

Author(s)

Vanya Van Belle

References

Van Belle V., Van Calster B., Visualizing risk prediction models, PLoS ONE, 10(7):e0132614. doi:10.1371/journal.pone.0132614 (2015).

Van Belle V., Van Calster B., Suykens J.A.K., Van Huffel S. and Lisboa P., Explaining support vector machines: a color based nomogram, Internal Report 16-27, ESAT-Stadius, KU Leuven (Leuven, Belgium), 2016

Van Belle V., Van Huffel S., Timmerman D., Froyman W., Bourne T. and Van Calster B., A color based nomogram for Multinomial Logistic Regression, Internal Report 16-28, ESAT-Stadius, KU Leuven (Leuven, Belgium), 2016

Examples

## Not run: 
	#### Logistic regression model
	runVRPMexample("IntermittentClaudication")
	#### Multinomial logistic regression model
	runVRPMexample("xsnz")
	#### Support Vector Machine classifier
	runVRPMexample("Iris")
	runVRPMexample("Pima")
## End(Not run)

VRPM documentation built on May 1, 2019, 8:02 p.m.