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  • 标题:fmixed: A SAS Macro for Smoothing-Spline-Based Functional Mixed Effects Models
  • 本地全文:下载
  • 作者:Ziyue Liu ; Wensheng Guo
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2011
  • 卷号:43
  • 期号:1
  • 页码:1-13
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:In this article we implement the smoothing-spline-based functional mixed effects models (Guo 2002) by a SAS macro by exploiting the connection between mixed effects models and smoothing splines. The macro can handle flexible design matrices and is easy to use. Input parameters and output results are described and explained. A numeric example and a real data example are used for illustration.
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