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This function samples a covariance matrix from an inverse Wishart distribution.

Usage

sample_covariance_matrix(dim, df = dim, scale = diag(dim), diag = FALSE)

Arguments

dim

[integer(1)]
The dimension.

df

[integer(1)]
The degrees of freedom of the inverse Wishart distribution greater or equal dim.

scale

[matrix()]
The scale covariance matrix of the inverse Wishart distribution of dimension dim.

diag

[logical(1)]
Diagonal matrix?

Value

A covariance matrix.

Examples

sample_covariance_matrix(dim = 3)
#>             [,1]        [,2]      [,3]
#> [1,]  0.60510128 -0.05696656 0.8625246
#> [2,] -0.05696656  1.47284197 0.7773005
#> [3,]  0.86252456  0.77730052 2.2777852