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

Signal Dimension is beta-distributed; remainder are Uniform 0, 1

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badmf.sims.beta(n, d, class.equal = TRUE, ind = FALSE)

badmf.sims.beta(n, d, class.equal = TRUE, ind = FALSE)

`n`	the number of samples.
`d`	the number of dimensions.
`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`.
`n`	the number of samples.
`d`	the number of dimensions.
`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`.