Easy.Stability: Easy API for output stability

In antonio-pgarcia/RRepast: Invoke 'Repast Simphony' Simulation Models

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

antonio-pgarcia/RRepast documentation built on Feb. 22, 2020, 1:20 a.m.