| Simulation of random values from a mixture of von Mises-Fisher distributions {Directional} | R Documentation |
Simulation of random values from a mixture of von Mises-Fisher distributions
Description
The function simulates random values simulation from a given mixture of von Mises-Fisher distributions.
Usage
rmixvmf(n, probs, mu, k)
Arguments
n |
The sample size. |
probs |
This is avector with the mixing probability of each group. |
mu |
A matrix with the mean direction of each group. |
k |
A vector with the concentration parameter of each group. |
Details
The function simulates random values simulation from a given mixture of von Mises-Fisher distributions using the rvmf function.
Value
A list including:
id |
An indicator of the group of each simulated vector. |
x |
A matrix with the simulated data. |
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Kurt Hornik and Bettina Grun (2014). movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions http://cran.r-project.org/web/packages/movMF/vignettes/movMF.pdf
See Also
Examples
k <- runif(3, 4, 20)
probs <- c(0.2, 0.5, 0.3)
mu <- matrix(rnorm(9), ncol = 3)
mu <- mu / sqrt( rowSums(mu^2) )
x <- rmixvmf(200, probs, mu, k)$x
bic.mixvmf(x, 5)