Directional (version 5.3)

Random values generation from the ESAG distribution: Random values generation from the ESAG distribution

Description

Random values generation from the ESAG distribution.

Usage

resag(n, mu, gam)

Arguments

n

A number; how many vectors you want to generate.

mu

The mean vector the ESAG distribution, a vector in \(R^3\).

gam

The two gamma parameters of the ESAG distribution.

Value

An \(n \times 3\) matrix with the simulated unit vectors.

Details

A random sample from the ESAG distribution is generated. In case the gammas are zero, the sample is drawn from the Independent Angular Gaussian (or projected normal).

References

Mardia, K. V. and Jupp, P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.

Paine P.J., Preston S.P., Tsagris M. and Wood A.T.A. (2018). An Elliptically Symmetric Angular Gaussian Distribution. Statistics and Computing, 28(3):689--697.

See Also

esag.mle, desag, spml.mle, acg.mle, circ.summary

Examples

# NOT RUN {
m <- colMeans( as.matrix( iris[,1:3] ) )
y <- resag(1000, m, c(1, 0.5) )
esag.mle(y)
# }