mixedvonmises: Mixture of von Mises Distributions

In circular: Circular Statistics

Description

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

Usage

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

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

circular documentation built on May 2, 2019, 4:42 p.m.