forecast: Function for running a stepwise simulation.
In sakrejda/simachine: Simulation Machine

Function for running a stepwise simulation.

forecast(functions = new.env(), data = new.env(),
  data_transformations = quote({ }), initial_states = new.env(),
  simulation = quote({ }), generated_quantities = quote({ }), n_steps = 1,
  sandbox = TRUE)

`functions`	An enviornment (could be coerced from a list) with any additional functions needed by the simulation.
`data`	An environment (could be coerced from a list) with all immutable data for the simulation.
`data_transformations`	code snippet run once, created by quoting a bracketed expression, (e.g.-quote(a <- 3; b <- 3*a)), which will be used to transform data once prior to simulation.
`initial_states`	An environment (could be coerced from a list) with the initial state of simulation parameters.
`simulation`	A code snippet, run once per step, created by quoting a bracketed expression, (e.g.-quote(a <- 3; b <- -1*a), which will be used to transform the simulation state once per step. This code can not modify the data.
`generated_quantities`	A code snippet, run once per step, after simulation, which will be used to generate output dependent on the simulated state.
`n_steps`	total number of simulation iterations to run.
`sandbox`	if TRUE the parent.env where the call is made will not be available to the code. For full effects see ?create_sandbox.