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• W1949111824 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." @default.
• W1949111824 created "2016-06-24" @default.
• W1949111824 creator A5024449512 @default.
• W1949111824 creator A5035372543 @default.
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• W1949111824 date "2014-01-01" @default.
• W1949111824 modified "2023-10-06" @default.
• W1949111824 title "<b>NPCirc</b>: An<i>R</i>Package for Nonparametric Circular Methods" @default.
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• W1949111824 doi "https://doi.org/10.18637/jss.v061.i09" @default.
• W1949111824 hasPublicationYear "2014" @default.
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