catdata: Categorical Data
Version 1.2.1

This R-package contains examples from the book "Regression for Categorical Data", Tutz 2011, Cambridge University Press. The names of the examples refer to the chapter and the data set that is used.

Getting started

Package overview Addiction - Additive Multinomial Logit Models Addiction - Multinomial Model Addiction - Multinomial Model with Hierarchically Structured Response AIDS - Semiparametric Mixed Model Arthritis - Cumulative Logit Model Beta-blockers - Discrete Mixture Models Birth Data - Bivariate Binary GEE Birth Data - Bivariate Binary Regression Birth Data - Loglinear Models Duration of Unemployment - Analysis of Deviance Table for Nested Models Duration of Unemployment - Cubic B-Splines Duration of Unemployment - Different Codings of Covariables Duration of Unemployment - Logit Model Duration of Unemployment - Trees Encephalitis - Loglinear Poisson Model and Normal Distribution Model Exposure to Dust - Generalized Additive Models Exposure to Dust - Logistic Regression and Search for Outliers Exposure to Dust - Trees Foodstamp - Residuals of Logistic Regression Glass - Comparing methods for discriminant analysis Insolvency - (Quasi-)Poisson Model and Negative Binomial Model Knee Data - Discrete Mixture Model Knee Data - Random Effects Logit Models Knee Data - Sequential/Cumulative Random Effects Logit Models Knee Injuries - Comparison of Link Functions Knee Injuries - Marginal Models Knee Injuries - Proportional Odds Models Leukoplakia - Mosaic Plots Medical Care - Comparison of different count data models Medical Care - Zero-Inflated and Zero-Hurdle-Model Number of Children - Partially Additive Model Number of Children - Poisson Models with Polynomial Terms Party Preference - Star Plots Preference for Political Parties - Multinomial Logit Model Regularization and Variable Selection for Parametric Models (1) Regularization and Variable Selection for Parametric Models (2) Regularization and Variable Selection for Parametric Models (3) Regularization and Variable Selection for Parametric Models (4) Regularization and Variable Selection for Parametric Models (5) Regularization and Variable Selection for Parametric Models (6) Retinopathy - Sequential Logit Models Retinopathy - Testing Proportional Odds Assumption Teratology - Alternative Binary Models Travel Mode - Multinomial Logit Model Vaso Constriction - Logistic Regression

Package details

AuthorGunther Schauberger, Gerhard Tutz
Date of publication2014-11-11 17:39:40
MaintainerGunther Schauberger <[email protected]>
LicenseGPL-2
Version1.2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("catdata")

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catdata documentation built on May 29, 2017, 5:41 p.m.