Easy.Stability: Easy API for output stability
Description
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)Usage
Easy.Stability(m.dir, m.ds, m.time = 300, parameters, sampling = 1,
tries = 100, vars = c(), FUN)
Arguments
m.dir
The installation directory of some repast model
m.ds
The name of any model aggregate dataset
m.time
The total simulated time
parameters
-- The factors or model's parameter list
sampling
-- The number of factor samples.
tries
-- The number of experiment replications
vars
-- The model's output variables for compute CoV
FUN
-- THe calibration function.
Value
- A list with holding experimnt, object and charts