Density of the spherical ESAG and Kent distributions and of the ESAG distribution in arbitrary dimensions | R Documentation |
Density of the spherical ESAG and Kent distributions.
desag(y, mu, gam, logden = FALSE)
dkent(y, G, param, logden = FALSE)
dESAGd(y, mu, gam, logden = FALSE)
y |
A matrix or a vector with the data expressed in Euclidean coordinates, i.e. unit vectors. For the dESAGd it can have any dimension. |
mu |
The mean vector the ESAG distribution. |
gam |
The two |
G |
For the Kent distribution only, a 3 x 3 matrix whose first column is the mean direction. The second and third columns are the major and minor axes respectively. |
param |
For the Kent distribution a vector with the concentration |
logden |
If you the logarithm of the density values set this to TRUE. |
The density of the spherical ESAG or Kent distribution, or of the ESAG distribution in arbitrary dimensions is computed.
A vector with the (log) density values of y.
Michail Tsagris and Zehao Yu.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Zehao Yu Zzehaoy@email.sc.edu.
Zehao Yu and Xianzheng Huang (2024). A new parameterization for elliptically symmetric angular Gaussian distributions of arbitrary dimension. Electronic Journal of Statististics, 18(1): 301–334.
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.
Kent John (1982). The Fisher-Bingham distribution on the sphere. Journal of the Royal Statistical Society, Series B, 44(1): 71–80.
Mardia K. V. and Jupp P. E. (2000). Directional statistics. Chicester: John Wiley & Sons.
kent.mle, rkent, esag.mle
m <- colMeans( as.matrix( iris[, 1:3] ) )
y <- rkent(1000, k = 10, m = m, b = 4)
mod <- kent.mle(y)
dkent( y, G = mod$G, param = mod$param )
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