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  • 标题:Bayesian Regression Models for Interval-censored Data in R
  • 本地全文:下载
  • 作者:Clifford Anderson-Bergman
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2017
  • 卷号:9
  • 期号:2
  • 页码:487-498
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:The package icenReg provides classic survival regression models for interval-censored data. We present an update to the package that extends the parametric models into the Bayesian framework. Core additions include functionality to define the regression model with the standard regression syntax while providing a custom prior function. Several other utility functions are presented that allow for simplified examination of the posterior distribution.
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