Simulation of random values from the ESAG distribution | R Documentation |
Simulation of random values from the ESAG distribution.
resag(n, mu, gam)
n |
A number; how many vectors you want to generate. |
mu |
The mean vector the ESAG distribution, a vector in |
gam |
The two |
A random sample from the ESAG distribution is generated. In case the \gamma_s
are zero, the sample is drawn
from the Independent Angular Gaussian (or projected normal).
An n \times 3
matrix with the simulated unit vectors.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
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.
esag.mle, desag, spml.mle, acg.mle, circ.summary
m <- colMeans( as.matrix( iris[,1:3] ) )
y <- resag(1000, m, c(1, 0.5) )
esag.mle(y)
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