Mistnet is an R package that produces probability densities over multivariate outcomes. Ecologists can use it to define probability densities over possible species assemblages, as described in this paper I wrote for *Methods and Ecology and Evolution*.

Mistnet models are *stochastic* neural networks, meaning that they include stochastic latent variables (like random effects) that account for correlations among the outcome variables that cannot be explained by the inputs.

The model uses a Generalized Expectation Maximization approach to model fitting (maximized penalized likelihood), as described in this paper from Tang and Salakhutdinov at NIPS 2013 and in the *Methods* paper referred to above.

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