badmf.sims.fat_tails: Spread Simulation
In ebridge2/badmf: Bayesian Decision-Making Forests (BaD-MFs)

A function to simulate data with the same mean that spreads as class id increases.

1 2	badmf.sims.fat_tails(n, d, K = 2, signal.scale = 1, rotate = FALSE, class.equal = TRUE, ind = FALSE)

`n`	the number of samples.
`d`	the number of dimensions.
`K`	the number of classes in the dataset. Defaults to `2`.
`signal.scale`	the scaling for the signal dimension. Defaults to `1`.
`class.equal`	whether the number of samples/class should be equal, with each class having a prior of 1/K, or inequal, in which each class obtains a prior of k/sum(K) for k=1:K. Defaults to `TRUE`.
`ind`	whether to sample x and y independently. Defaults to `FALSE`.