Computes stochastic distances between two \(\mathcal{G}_I^0\) laws by
numerical integration (Nascimento, Cintra and Frery, 2010).
Usage
distancesg0i(
par_1,
par_2,
p = 1/2,
type = c("KL", "Renyi", "Bhattacharyya", "Hellinger", "Arithmetic-Geometric",
"Triangular", "Harmonic-Mean")
)
Arguments
- par_1, par_2
Parameter vectors c(alpha, gamma, L).
- p
Order of the Rényi distance, in (0, 1).
- type
One of "KL", "Renyi", "Bhattacharyya", "Hellinger",
"Arithmetic-Geometric", "Triangular" or "Harmonic-Mean".
Value
An object of class distancesg0i with the parameters, the type
and the distance_value.
References
Nascimento, A. D. C., Cintra, R. J. and Frery, A. C. (2010). Hypothesis
testing in speckled data with stochastic distances. IEEE Transactions on
Geoscience and Remote Sensing, 48(1), 373–385.
Examples
distancesg0i(c(-1.5, 2, 4), c(-1.5, 2, 4))
#>
#> G0I stochastic distance
#>
#> Type: KL
#> Distance: 0
res <- distancesg0i(c(-1.5, 2, 8), c(-3, 2, 4), type = "Hellinger")
res
#>
#> G0I stochastic distance
#>
#> Type: Hellinger
#> Distance: 0.129977
