Description Usage Arguments Details Value Author(s) References See Also Examples
Function to obtain random samples from a multivariate power exponential distribution.
1 2 |
n |
number of random samples. |
Location |
Location vector of the distribution. |
Scatter |
Scatter matrix of the distribution. |
Beta |
shape parameter of the distribution. |
The power exponential distribution is an elliptical distribution which can have light or heavy tails.
Beta = 1
yields a multivariate normal distribution, Beta = 0.5
the multivariate Laplace distribution and
with increasing Beta
converges to a multivariate uniform distribution.
a matrix.
Klaus Nordhausen
Oja, H. (2010), Multivariate Nonparametric Methods with R, Springer.
1 2 3 4 5 6 | X1 <- rmvpowerexp(100,c(0,0,0),Beta = 0.5)
pairs(X1)
X2 <- rmvpowerexp(100,c(0,0,0),Beta = 1)
pairs(X2)
X3 <- rmvpowerexp(100,c(0,0,0),Beta = 10)
pairs(X3)
|
Loading required package: ICSNP
Loading required package: mvtnorm
Loading required package: ICS
Loading required package: SpatialNP
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