Abstract
This chapter looks at the VGAM package in R from a user’s point of view. We look at its general usage and naming conventions, some recommendations, common trouble shooting and tricks, S4 versus S3 nuances, and some details are given on some selected methods functions, e.g., fitted(), summary(). Many of the topics will be revision for the seasoned R user. This chapter assumes prior familiarity with R. Note that the software details presented here are subject to change.
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References
Aitkin, M., B. Francis, J. Hinde, and R. Darnell 2009. Statistical Modelling in R. Oxford: Oxford University Press.
Altman, M., J. Gill, and M. P. McDonald 2004. Numerical Issues in Statistical Computing for the Social Scientist. Hoboken: Wiley-Interscience.
Chambers, J. M. and T. J. Hastie (Eds.) 1991. Statistical Models in S. Pacific Grove: Wadsworth/Brooks Cole.
Crawley, M. J. 2005. Statistics: An Introduction using R. Chichester: John Wiley & Sons.
Dalgaard, P. 2008. Introductory Statistics with R (Second ed.). New York: Springer.
Davison, A. C. 2003. Statistical Models. Cambridge: Cambridge University Press.
de Vries, A. and J. Meys 2012. R for Dummies. Chichester: Wiley.
Faraway, J. J. 2006. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Boca Raton: Chapman and Hall/CRC.
Faraway, J. J. 2015. Linear Models with R (Second ed.). Boca Raton: Chapman & Hall/CRC.
Fox, J. and S. Weisberg 2011. An R Companion to Applied Regression (Second ed.). Thousand Oaks: Sage Publications.
Freedman, D. A. and J. S. Sekhon 2010. Endogeneity in probit response models. Political Analysis 18(2):138–150.
Freund, J. E. 1961. A bivariate extension of the exponential distribution. Journal of the American Statistical Association 56(296):971–977.
Jones, O., R. Maillardet, and A. Robinson 2014. Introduction to Scientific Programming and Simulation Using R (Second ed.). Boca Raton, FL, USA: Chapman and Hall/CRC.
Maindonald, J. H. and W. J. Braun 2010. Data Analysis and Graphics Using R: An Example-Based Approach (Third ed.). Cambridge: Cambridge University Press.
McCullagh, P. and J. A. Nelder 1989. Generalized Linear Models (Second ed.). London: Chapman & Hall.
Spector, P. 2008. Data Manipulation with R. New York, USA: Springer Verlag.
Venables, W. N. and B. D. Ripley 2002. Modern Applied Statistics With S (4th ed.). New York, USA: Springer-Verlag.
Zuur, A. F., E. N. Ieno, and E. H. Meesters 2009. A Beginner’s Guide to R. New York, USA: Springer.
Zuur, A. F., A. A. Saveliev, and E. N. Ieno 2012. Zero Inflated Models and Generalized Linear Mixed Models with R. Newburgh, UK: Highland Statistics Ltd.
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Yee, T.W. (2015). Using the VGAM Package. In: Vector Generalized Linear and Additive Models. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2818-7_8
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DOI: https://doi.org/10.1007/978-1-4939-2818-7_8
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