## spatcounts

 swMATH ID: 13743 Software Authors: Czado, Claudia; Schabenberger, Holger; Erhardt, Vinzenz Description: Non nested model selection for spatial count regression models with application to health insurance. We consider spatial regression models for count data. We examine not only the Poisson distribution but also the generalized Poisson capable of modeling over-dispersion, the negative Binomial as well as the zero-inflated Poisson distribution which allows for excess zeros as possible response distribution. We add random spatial effects for modeling spatial dependency and develop and implement MCMC algorithms in $$R$$ for Bayesian estimation. The corresponding R library ‘spatcounts’ is available on CRAN. In an application the presented models are used to analyze the number of benefits received per patient in a German private health insurance company. Since the deviance information criterion is only appropriate for exponential family models, we use in addition the Vuong and Clarke test with a Schwarz correction to compare possibly non nested models. We illustrate how they can be used in a Bayesian context. Homepage: https://cran.r-project.org/web/packages/spatcounts/index.html Source Code: https://github.com/cran/spatcounts Dependencies: R Keywords: spatial count regression; over-dispersion; zero-inflation; generalized Poisson; non nested comparison Related Software: R; BUGS; spam; maptools; spTimer; nlme; CARBayes; CODA; truncdist; ZIGP; CARBayesdata; Rcpp; testthat; matrixcalc; Surveillance; BaySTDetect; spBayes; plm; lme4; R-INLA Cited in: 4 Publications
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### Cited by 8 Authors

 2 Czado, Claudia 1 Almeida, Carlos A. S. 1 Conde-Sánchez, Antonio 1 Erhardt, Vinzenz 1 Sáez-Castillo, Antonio José 1 Schabenberger, Holger 1 Shi, Kun 1 Shi, Peng

### Cited in 3 Serials

 2 Statistical Papers 1 Computational Statistics and Data Analysis 1 ASTIN Bulletin

### Cited in 3 Fields

 4 Statistics (62-XX) 2 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Numerical analysis (65-XX)