NPCirc: An R Package for Nonparametric Circular Methods

María Oliveira, Rosa M. Crujeiras and Alberto Rodríguez-Casal

Journal of Statistical Software, 2014, vol. 061, issue i09

Abstract: 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.

Date: 2014-11-13
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:061:i09

DOI: 10.18637/jss.v061.i09

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