Easy.Stability {rrepast}

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, samples = 1,
  tries = 100, vars = c(), FUN, default = NULL)

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

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

Value

A list with holding experiment, object and charts