dwsn
(Package: NPCirc) :
Wrapped skew-Normal density function
Density function and random generation for the wrapped skew-Normal distribution introduced by Pewsey (2000).
● Data Source:
CranContrib
● Keywords: circular density
● Alias: dwsn, rwsn
●
1 images
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This function plots the CircSiZer map for circsizer objects.
● Data Source:
CranContrib
● Keywords: circsizer
● Alias: circsizer.map
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0 images
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dcircmix
(Package: NPCirc) :
Mixtures of circular distributions
Density and random generation functions for a circular distribution or a mixture of circular distributions allowing the following components: circular uniform, von Mises, cardioid, wrapped Cauchy, wrapped normal, wrapped skew-normal.
● Data Source:
CranContrib
● Keywords: circular density
● Alias: dcircmix, rcircmix
●
0 images
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kern.den.circ
(Package: NPCirc) :
Nonparametric circular kernel density estimation
This function computes circular kernel density estimates with the given bandwidth, taking the von Mises distribution as circular kernel.
● Data Source:
CranContrib
● Keywords: circular density
● Alias: kern.den.circ
●
2 images
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bw.boot
(Package: NPCirc) :
Bootstrap method
This function implements the bootstrap procedure proposed by Di Marzio et al. (2011) for selecting the smoothing parameter for density estimation taking the von Mises density as kernel.
● Data Source:
CranContrib
● Keywords: circular density
● Alias: bw.boot
●
0 images
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This function plots the CircSiZer map for circular regression estimation based on circular kernel methods, as described in Oliveira et al. (2013). The CircSiZer is an extension of SiZer proposed by Chaudhuri and Marron (1999) to circular data.
● Data Source:
CranContrib
● Keywords: circular regression
● Alias: circsizer.regression
●
0 images
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The lines add a plot for regression.circular objects.
● Data Source:
CranContrib
● Keywords: circular regression
● Alias: lines.regression.circular
●
1 images
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The plot method for regression.circular objects.
● Data Source:
CranContrib
● Keywords: circular regression
● Alias: plot.regression.circular
●
2 images
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This package implements nonparametric kernel methods for density and regression estimation for circular data.
● Data Source:
CranContrib
● Keywords:
● Alias: NPCirc, NPCirc-package
●
0 images
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This function plots the CircSiZer map for circular density estimation based on circular kernel methods, as described in Oliveira et al. (2013). The CircSiZer is an extension of SiZer proposed by Chaudhuri and Marron (1999) to circular data.
● Data Source:
CranContrib
● Keywords: circular density
● Alias: circsizer.density, print.circsizer
●
0 images
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providing 
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