Software


This page contains selected code and examples from our publications. Material for the book "Regression for Categorical Data" can be found on its own book homepage.



R code, source code and manual for the methods described in the paper "Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs" (Tutz & Schauberger 2012).
R functions and an example for the methods described in the paper "Nonparametric Estimation of the Link Function Including Variable Selection" (Tutz & Petry 2011), Statistics and Computing 21.
R functions and an example for the methods described in the paper "The OSCAR for Generalized Linear Models" (Petry & Tutz 2011).
R functions and an example (with corresponding data set) for the methods described in the paper “Estimation of Single-Index Models Based on Boosting Techniques” (Leitenstorfer & Tutz, 2011), Statistical Modelling 11.
R functions for the method described in the paper "Pairwise Fused Lasso" (Petry, Flexeder & Tutz 2011).
R function for bootrapping the Munich chain laddder method described in the paper “An Improved Bootstrap Methodology for the Estimation of Predictive Claim Reserve Distributions” (Rubenbauer, Groll & Leitenstorfer 2009).
R functions for the methods described in the paper “Penalized Regression with Correlation Based Penalty” (Tutz & Ulbricht, 2009), Statistics and Computing 19, 239-253.
R functions and an example for the methods described in the paper "Generalized smooth monotonic regression in additive modeling" (Tutz & Leitenstorfer, 2007), Journal of Computational and Graphical Statistics 16, 165-188.
R functions and an example (with corresponding data set) for the methods described in the paper “Generalized Monotonic Regression Based on B-Splines with an Application to Air Pollution Data” (Leitenstorfer & Tutz, 2007),  Biostatistics 8, 654-673.