calls microaggregation code from mu-argus. In case only one variable should be
microaggregated and `useOptimal`

is `TRUE`

, Hansen-Mukherjee polynomial exact method
is applied. In any other case, the Mateo-Domingo method is used.

`argus_microaggregation(df, k, useOptimal = FALSE)`

## Arguments

- df
a `data.frame`

with only numerical columns

- k
required group size

- useOptimal
(logical) should optimal microaggregation be applied (ony possible in
in case of one variable)

## Value

a `list`

with two elements

## Examples

```
mat <- matrix(sample(1:100, 50, replace=TRUE), nrow=10, ncol=5)
df <- as.data.frame(mat)
res <- argus_microaggregation(df, k=5, useOptimal=FALSE)
```