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An algorithm for clustered data generalized additive modelling with S-PLUS

Journal of Statistical Software (2005) 14
DOI: 10.18637/jss.v014.i08
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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.

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Hin, L. Y., & Carey, V. (2005). An algorithm for clustered data generalized additive modelling with S-PLUS. Journal of Statistical Software, 14. https://doi.org/10.18637/jss.v014.i08

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