• Thomas W. Yee
Part of the Springer Series in Statistics book series (SSS)


This chapter deals with the most pertinent details of the vector generalized additive model (VGAM) class. Building on the basic ideas of univariate smoothing from an earlier chapter, we develop it for vector smoothing a vector response. The two main methods (vector splines and local regression†) are described, including some inference, computational details (e.g., modified backfitting, O-splines), the vector additive model (VAM; the ‘backbone’ of VGAMs), and other topics such as using the VGAM package to fit them.


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© Thomas Yee 2015

Authors and Affiliations

  • Thomas W. Yee
    • 1
  1. 1.Department of StatisticsUniversity of AucklandAucklandNew Zealand

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