Structured Additive Regression Models: An R Interface to BayesX

Abstract

Structured additive regression (STAR) models provide a flexible framework for modeling possible nonlinear effects of covariates: They contain the well established frameworks of generalized linear models (GLM) and generalized additive models (GAM) as special cases but also allow a wider class of effects, e.g., for geographical or spatio-temporal data… (More)

Topics

18 Figures and Tables

Cite this paper

@inproceedings{Umlauf2012StructuredAR, title={Structured Additive Regression Models: An R Interface to BayesX}, author={Nikolaus Umlauf and Daniel Adler and Thomas Kneib and Stefan Lang and Achim Zeileis}, year={2012} }