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| Authors: | María Oliveira, Rosa M. Crujeiras, Alberto Rodríguez-Casal | ||||
| Title: | NPCirc: An R Package for Nonparametric Circular Methods | ||||
| 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. | ||||
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Page views:: 3574. Submitted: 2013-03-29. Published: 2014-11-13. |
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| Paper: |
NPCirc: An R Package for Nonparametric Circular Methods
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| DOI: |
10.18637/jss.v061.i09
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This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |