This functions run model several times in order to determine how many experiment replications are required for model's output being stable (i.e. the convergence of standard deviation)
Easy.Stability(m.dir, m.ds, m.time = 300, parameters, samples = 1,
tries = 100, vars = c(), FUN, default = NULL)The installation directory of some repast model
The name of any model aggregate dataset
The total simulated time
The factors or model's parameter list
The number of factor samples.
The number of experiment replications
The model's output variables for compute CoV
The objective or cost function. A function defined over the model output.
The alternative values for parameters which should be kept fixed
A list with holding experiment, object and charts