# mixedvonmises: Mixture of von Mises Distributions In circular: Circular Statistics

## Description

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

## Usage

 ```1 2 3``` ```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

`dvonmises` `pvonmises` and `rvonmises`
 ```1 2 3``` ```x <- rmixedvonmises(n=100, mu1=circular(0), mu2=circular(pi), kappa1=15, kappa2=15, prop=0.5) plot(x) ```