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[dpr]mvss
: mutivariate subgaussian stable distributionsThe goal of mvpd
is to use product distribution theory to allow the
numerical calculations of specific scale mixtures of the multivariate
normal distribution. The multivariate subgaussian stable distribution is
the product of the square root of a univariate positive stable
distribution and the multivariate normal distribution (see Nolan
(2013)).
Generate 1000 draws from a random bivariate subgaussian stable distribution with alpha=1.71 and plot.
library(mvpd)
set.seed(10)
## basic example code
biv <- rmvss(n=1e3, alpha=1.71, Q=matrix(c(10,7.5,7.5,10),2))
head(biv)
#> [,1] [,2]
#> [1,] -0.2260798 -0.6168492
#> [2,] -6.1460819 -4.5603538
#> [3,] 1.4592466 1.6213040
#> [4,] -4.4159078 -2.9252448
#> [5,] -6.7106973 -3.8158068
#> [6,] 5.9107788 5.1332625
plot(biv); abline(h=0,v=0)
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