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An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS

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  • Hin, Lin Yee
  • Carey, Vincent

Abstract

We present a set of functions in S-PLUS to implement the clustered data generalized additive marginal modelling (CDGAM) strategy proposed by Berhane and Tibshirani (1998). A variety of working correlation structures are supported, and the regression basis may include components from the family of smoothing splines.

Suggested Citation

  • Hin, Lin Yee & Carey, Vincent, 2005. "An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i08).
    • Handle: RePEc:jss:jstsof:v:014:i08
    DOI: http://hdl.handle.net/10.18637/jss.v014.i08
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