Random values simulation from a mixture of von Mises-Fisher distributions
The function simulates random values simulation from a given mixture of von Mises-Fisher distributions.
rmixvmf(n, prob, mu, k)
n |
The sample size. |
prob |
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. |
The function simulates random values simulation from a given mixture of von Mises-Fisher distributions using the rvmf function.
A list including:
id |
An indicator of the group of each simulated vector. |
x |
A matrix with the simulated data. |
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>
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
k <- runif(4, 4, 20) prob <- c(0.2, 0.4, 0.3, 0.1) mu <- matrix(rnorm(16), ncol = 4) mu <- mu / sqrt( rowSums(mu^2) ) x <- rmixvmf(200, prob, mu, k)$x bic.mixvmf(x, 5)
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