EffectStars-package: Visualization of Categorical Response Models
In EffectStars: Visualization of Categorical Response Models
Description
Author(s)
References
See Also
Description
The package EffectStars2 provides a more up-to-date implementation of effect stars!
The package provides functions that visualize categorical regression models.
Included models are the multinomial logit model, the sequential logit model and the
cumulative logit model.
The exponentials of the effects of the predictors are plotted as star plots showing the strengths of the effects.
In addition p-values for the effect of predictors are given.
Various data sets and examples are provided.
The plots should in general be exported to file formats like pdf, ps or png to recieve the optimal display. Plotting in R devices may not provide the optimal results.
For further details see star.nominal, star.sequential and star.cumulative.
Author(s)
Gunther Schauberger
gunther.schauberger@tum.de
https://www.sg.tum.de/epidemiologie/team/schauberger/
References
Tutz, G. and Schauberger, G. (2012): Visualization of Categorical Response Models -
from Data Glyphs to Parameter Glyphs, Journal of Computational and Graphical Statistics 22(1), 156-177.
Gerhard Tutz (2012): Regression for Categorical Data, Cambridge University Press
See Also
star.nominal, star.sequential, star.cumulative
EffectStars documentation built on Oct. 30, 2019, 9:39 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Author(s) References See Also
Description
The package EffectStars2 provides a more up-to-date implementation of effect stars!
The package provides functions that visualize categorical regression models.
Included models are the multinomial logit model, the sequential logit model and the
cumulative logit model.
The exponentials of the effects of the predictors are plotted as star plots showing the strengths of the effects.
In addition p-values for the effect of predictors are given.
Various data sets and examples are provided.
The plots should in general be exported to file formats like pdf, ps or png to recieve the optimal display. Plotting in R devices may not provide the optimal results.
For further details see star.nominal, star.sequential and star.cumulative.
Author(s)
Gunther Schauberger
gunther.schauberger@tum.de
https://www.sg.tum.de/epidemiologie/team/schauberger/
References
Tutz, G. and Schauberger, G. (2012): Visualization of Categorical Response Models -
from Data Glyphs to Parameter Glyphs, Journal of Computational and Graphical Statistics 22(1), 156-177.
Gerhard Tutz (2012): Regression for Categorical Data, Cambridge University Press
See Also
star.nominal, star.sequential, star.cumulative
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.