rrepast (version 0.8.0)

ParallellRunExperiment: ParallellRunExperiment

Description

Run the model multiple times for different parameters given by design matrix function parameter.

Usage

ParallellRunExperiment(modeldir, datasource, maxtime, r = 1, design, FUN,
  default = NULL)

Arguments

modeldir

The installation directory of some repast model

datasource

The name of any model aggregate dataset

maxtime

The total simulated time

r

The number of experiment replications

design

The desing matrix holding parameter sampling

FUN

THe calibration function.

default

The alternative values for parameters which should be kept fixed

Value

A list with output and dataset

Details

The FUN function must return zero for perfect fit and values greater than zero otherwise.

Examples

# NOT RUN {
   my.cost<- function(params, results) { # your best fit calculation, being 0 the best metric.  }
   d<- "/usr/models/your-model-directory"
   f<- AddFactor(name="cyclePoint",min=40,max=90)
   f<- AddFactor(factors=f, name="conjugationCost",min=1,max=80)
   d<- AoE.LatinHypercube(factors=f)
   v<- ParallellRunExperiment()
# }
# NOT RUN {
# }