The input modeling module provides a foundation for configurable model behaviors, whether that is deterministic or stochastic. The module includes a set of random variable distributions for use in atomic models, a system around “thinning” for non-stationary model behaviors, and a structure around random number generation.
Random variables underpin both stochastic and deterministic model
behaviors, in that deterministic operation is simply a random variable
with a single value of probability 1. Common distributions, with their
common parameterizations, are wrapped in enums