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

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

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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 sm...

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Main Authors: Lin Yee Hin, Vincent Carey
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2005-08-01
Series:Journal of Statistical Software
Online Access:http://www.jstatsoft.org/index.php/jss/article/view/1457
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spelling doaj-df9e330704d34b08902ff286d5450f212020-11-25T01:34:35ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602005-08-0114112410.18637/jss.v014.i0861An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUSLin Yee HinVincent CareyWe 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.http://www.jstatsoft.org/index.php/jss/article/view/1457
collection DOAJ
language English
format Article
sources DOAJ
author Lin Yee Hin
Vincent Carey
spellingShingle Lin Yee Hin
Vincent Carey
An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
Journal of Statistical Software
author_facet Lin Yee Hin
Vincent Carey
author_sort Lin Yee Hin
title An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
title_short An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
title_full An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
title_fullStr An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
title_full_unstemmed An Algorithm for Clustered Data Generalized Additive Modelling with S-PLUS
title_sort algorithm for clustered data generalized additive modelling with s-plus
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2005-08-01
description 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.
url http://www.jstatsoft.org/index.php/jss/article/view/1457
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AT vincentcarey analgorithmforclustereddatageneralizedadditivemodellingwithsplus
AT linyeehin algorithmforclustereddatageneralizedadditivemodellingwithsplus
AT vincentcarey algorithmforclustereddatageneralizedadditivemodellingwithsplus
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