predict_mmrr: Calculate predictions (marginal expectations)
In koekvall/lvmmr: Mixed-type multivariate response regression

Calculate predictions (marginal expectations)

1	predict_mmrr(X, Beta, sigma, type, num_nodes = 15)

`X`	An nr x p matrix of predictors. The first r elements are predictors for the r responses in the first independent response vector, and so on.
`Beta`	A p-vector of latent regression coefficients
`sigma`	An r-vector of standard deviations for the responses, i.e. sqrt(diag(Sigma)).
`type`	An r-vector indicating response types: 1 means normal, 2 means Bernoulli, and 3 means Poisson.
`num_nodes`	Number of nodes to use in Gaussian quadrature used to calculate predictions