random_data_hier: Random hierarchical multivariate data
In ashiklom/mvtraits: Fit multivariate models to partially missing trait data

Useful for testing.

random_data_hier(mu_global = def_mu_global,
  sigma_global = def_sigma_global, mu_group = def_mu_group,
  sigma_group = def_sigma_group, n = 5000, frac_miss = 0.75,
  all_missing_group = 3, all_missing_col = 2)

`mu_global`	Global mean vector
`sigma_global`	Global covariance matrix
`mu_group`	Group mean vectors (list)
`sigma_group`	Group covariance matrices (list)
`frac_miss`	Fraction of randomly missing data
`all_missing_group`	Group containing a completely missing column
`all_missing_col`	Column that is missing completely