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文章基本信息

  • 标题:profdpm: An R Package for MAP Estimation in a Class of Conjugate Product Partition Models
  • 本地全文:下载
  • 作者:Matthew S. Shotwell
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2013
  • 卷号:53
  • 期号:1
  • 页码:1-18
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:The profdpm package facilitates inference at the posterior mode for a class of product partition models. Dirichlet process mixtures are currently the only available class members. Several methods are implemented to search for the maximum posterior estimate of the data partition. This article discusses the relevant theory, the R and underlying C implementation, and examples of high level functionality.
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