catdata (version 1.2.4)

catdata-package: Categorical Data

Description

This R-package contains examples from the book

Tutz (2012): Regression for Categorical Data, Cambridge University Press

The names of the examples refer to the chapter and the data set that is used.

The data sets are

addiction,
aids,
birth,
children,
deathpenalty,
dust,
encephalitis,
foodstamp,
insolvency,
knee,
leucoplakia,
medcare,
reader,
recovery,
rent,
rethinopathy,
teratology,
teratology2,
unemployment,
vaso.

The chapters are abbreviated in the following way

intro	Chapter 1	Introduction
binary	Chapter 2	Binary Regression: The Logit Model
glm	Chapter 3	Generalized Linear Models
modbin	Chapter 4	Modeling of Binary Data
altbin	Chapter 5	Alternative Binary Regression Models
regsel	Chapter 6	Regularization and Variable Selection for Parametric Models (vignettes were removed)
count	Chapter 7	Regression Analysis of Count Data
multinomial	Chapter 8	Multinomial Response Models
ordinal	Chapter 9	Ordinal Response Models
semiparametric	Chapter 10	Semi- and Nonparametric Generalized Regression
tree	Chapter 11	Tree-Based Methods
loglinear	Chapter 12	The Analysis of Contingency Tables
multivariate	Chapter 13	Multivariate Response Models
random	Chapter 14	Random Effects and Finite Mixtures
prediction	Chapter 15	Prediction and Classification

The examples are abbreviated by chaptername-dataset. Thus, for example,

modbin-dust

refers to Chapter 4 (Modeling of Binary Data) and the data set dust.

Overview of examples:

• Chapter 2:

  • binary-vaso: Example 2.2

  • binary-unemployment: Example 2.3

• Chapter 4:

  • modbin-unemployment: Example 4.3

  • modbin-foodstamp: Example 4.4

  • modbin-dust: Example 4.7

• Chapter 5:

  • altbin-teratology: Example 5.1

• Chapter 7:

  • count-children: Example 7.3

  • count-encephalitis: Example 7.4

  • count-insolvency: Example 7.5

  • count-medcare: Example 7.6

• Chapter 8:

  • multinomial-party1: Example 8.3

  • multinomial-party2: Example 8.3

  • multinomial-travel: Example 8.4

  • multinomial-addiction1: Example 8.5

  • multinomial-addiction2: Example 8.6

• Chapter 9:

  • ordinal-knee1: Example 9.3

  • ordinal-knee2: Example 9.4

  • ordinal-retinopathy1: Example 9.5

  • ordinal-retinopathy2: Example 9.6

  • ordinal-arthritis: Example 9.8

• Chapter 10:

  • semiparametric-unemployment: Example 10.2

  • semiparametric-dust: Example 10.3

  • semiparametric-children: Example 10.4

  • semiparametric-addiction: Example 10.5

• Chapter 11:

  • tree-unemployment: Example 11.1

  • tree-dust: Example 11.2

• Chapter 12:

  • loglinear-birth: Example 12.3

  • loglinear-leukoplakia: Example 12.5

• Chapter 13:

  • multivariate-birth1: Examlpe 13.3

  • multivariate-knee: Example 13.4

  • multivariate-birth2: Example 13.5

• Chapter 14:

  • random-knee1: Example 14.3

  • random-knee2: Example 14.4

  • random-aids: Example 14.6

  • random-betablocker: Example 14.7

  • random-knee3: Example 14.8

• Chapter 15:

  • prediction-glass: Example 15.4 (vignette was removed)

  • prediction-medcare: Example 15.8

Author

Gerhard Tutz and Gunther Schauberger with contributions from Sarah Maierhofer and Marcus Groß

Maintainer:
Gunther Schauberger <[e-mail]>
Gerhard Tutz <[e-mail]>

References

Gerhard Tutz (2012), Regression for Categorical Data, Cambridge University Press

Examples

if (FALSE) {
if(interactive()){vignette("modbin-dust")}
}