書誌事項

タイトル別名
  • An Introduction to GAM with R
  • R ニ ヨル GAM ニュウモン

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抄録

This article presents an introduction to generalized additive models using R for data of mutually exclusive groups and a set of predictor variables. Illustrated herein are a number of resampling methods, that is cross-validation when selecting the optimum smoothing parameter, and bootstrapping applications that implement the bootstrap-based information when using the deviance in order to summarize the measure of goodness-of-fit on generalized additive models. The cross-validation is also adapted for influential analysis in order to verify the appropriateness of the model and to detect observations that do not agree with the rest of the data.

収録刊行物

  • 行動計量学

    行動計量学 34 (1), 111-131, 2007

    日本行動計量学会

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