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  • 标题:NPCirc: An R Package for Nonparametric Circular Methods
  • 本地全文:下载
  • 作者:María Oliveira ; Rosa M. Crujeiras ; Alberto Rodríguez-Casal
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2014
  • 卷号:61
  • 期号:1
  • 页码:1-26
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要:Nonparametric density and regression estimation methods for circular data are included in the R package NPCirc. Specifically, a circular kernel density estimation procedure is provided, jointly with different alternatives for choosing the smoothing parameter. In the regression setting, nonparametric estimation for circular-linear, circular-circular and linear-circular data is also possible via the adaptation of the classical Nadaraya-Watson and local linear estimators. In order to assess the significance of the features observed in the smooth curves, both for density and regression with a circular covariate and a linear response, a SiZer technique is developed for circular data, namely CircSiZer. Some data examples are also included in the package, jointly with a routine that allows generating mixtures of different circular distributions.
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