Description Usage Arguments Value
View source: R/rrepast-easyapi.R
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)
1 2 | Easy.Stability(m.dir, m.ds, m.time = 300, parameters, samples = 1,
tries = 100, vars = c(), FUN, default = NULL)
|
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 |
samples |
The number of factor samples. |
tries |
The number of experiment replications |
vars |
The model's output variables for compute CoV |
FUN |
The objective or cost function. A function defined over the model output. |
default |
The alternative values for parameters which should be kept fixed |
A list with holding experiment, object and charts
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