CDGAM

An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS. 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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References in zbMATH (referenced in 1 article , 1 standard article )

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  1. Lin Yee Hin; Vincent Carey: An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS (2005) not zbMATH