delete_values: Delete values from a design matrix
In mlondschien/hdcd: High - Dimensional Change Point Detection

delete_values returns the matrix x with a proportion of m values deleted.

1	delete_values(x, m, missingness = "mcar")

`x`	Design matrix
`m`	proportion of values to be deleted
`missingness`	One of `'mcar'`, `'nmar'` or `'blockwise'`. For `mcar` the values are deleted uniformly at random. If `nmar` is supplied, the probability of deletion of a given value is set to be proportional to its absolute value. If `blockwise` is supplied, repeatedly values `l ~ Pois(p / 20)` and `k ~ Exp(n/8)` are drawn and a block of size `l x k` is deleted.