mixedvonmises: Mixture of von Mises Distributions

Description Usage Arguments Value Author(s) See Also Examples

Description

Density and random generation for the mixed von Mises circular distribution.

Usage

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dmixedvonmises(x, mu1, mu2, kappa1, kappa2, prop)
rmixedvonmises(n, mu1, mu2, kappa1, kappa2, prop, control.circular = list())
pmixedvonmises(q, mu1, mu2, kappa1, kappa2, prop, from=NULL, tol = 1e-020)

Arguments

x, q

a vector. The object is coerced to class circular.

n

number of observations.

mu1

mean direction of one of the two von Mises distributions as a circular object.

mu2

mean direction of the other von Mises distribution as a circular object.

kappa1

concentration parameter of one of the two von Mises distributions.

kappa2

concentration parameter of the other von Mises distribution.

prop

mixing proportion.

from

if NULL is set equal to 0 (Notice the difference from the correspoding vonmises distribution). This is the value from which the pmixedvonmises is evaluated. It should be a circular object.

tol

the precision in evaluating the distributon function or the quantile.

control.circular

the attribute of the resulting object.

Value

dmixedvonmises gives the density, pmixedvonmises gives the distribution function and rmixedvonmises generates random deviates.

Author(s)

Claudio Agostinelli and Ulric Lund

See Also

dvonmises pvonmises and rvonmises

Examples

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x <- rmixedvonmises(n=100, mu1=circular(0), mu2=circular(pi), kappa1=15, 
  kappa2=15, prop=0.5)
plot(x)

circular documentation built on May 1, 2019, 7:57 p.m.