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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,]  3.8029871 4.0236370 -0.1770441
#> [2,]  4.0236370 4.6990840  0.4128446
#> [3,] -0.1770441 0.4128446  2.9863356