Statistical Models in S

Summary

The interactive data analysis and graphics language S has become a popular environment for both data analysts and research statisticians, but a common complaint has concerned the lack of statistical modeling tools, such as those provided by GLIM© or GENSTAT©.

Keywords

Graphics, Computer science, Statistical model, Statistical analysis, Data exploration

References

Generalized Additive ModelsTrevor Hastie, Robert Tibshirani — 1986
The New S LanguageDavid W. Scott, R. A. Becker, J. M. Chambers — 1989
Generalized Linear ModelsPeter McCullagh — 1984
The New S Language.Richard A. Becker, J. M. Chambers, A. R. Wilks — 1989
Generalized Linear ModelsPaul McCullagh, J. A. Nelder — 1983

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Related papers

Classification and Regression TreesJohn Van Ryzin, Leo Breiman, Jerome H. Friedman — 2000
Random ForestsLeo Breiman — 2001
Generalized Additive Models.Richard A. Brown, Trevor Hastie, Robert Tibshirani — 1991
The New S Language.Richard A. Becker, J. M. Chambers, A. R. Wilks — 1989
Visualizing DataWilliam S. Cleveland — 1993
R: A language and environment for statistical computing.R Core Team — 2014
Modern Applied Statistics with S-Plus.W. N. Venables, B. D. Ripley — 1996
Multivariate adaptive regression splinesJerome H. Friedman — 1990
The new S language: a programming environment for data analysis and graphicsRichard A. Becker, John M. Chambers, Allan R. Wilks — 1988