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################################
#### Simulating from a Kent distribution
#### Tsagris Michail 04/2016
#### mtsagris@yahoo.gr
#### References: A new method to simulate the Bingham and related distributions in
#### directional data analysis with applications
#### Kent J.T., Ganeiber A.M. and Mardia K.V. (2013)
#### http://arxiv.org/pdf/1310.8110v1.pdf
################################
rkent <- function(n, k, m, b) {
## n is the required sample size
## k is the concentration parameter, the Fisher part
## m is the mean vector, the Fisher part
## b is the ovalness parameter
m0 <- rnorm(3)
m0 <- m0 / sqrt( sum(m0^2) )
m <- m / sqrt( sum(m^2) )
a <- rotation(m0, m)
A <- diag( c(-b, 0, b) )
x <- Directional::rfb(n, k, m0, A) ## simulated values with mean direction equal to m
tcrossprod(x, a) ## simulated values with mean direction equal to m
}
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