Invoke 'Repast Simphony' Simulation Models


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Documentation for package ‘rrepast’ version 0.4.0

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AddFactor Adds a paramter to factor collection
AddResults Concatenate results of multiple runs
AoE.Base AoE.Base
AoE.ColumnCoV AoE.ColumnCoV
AoE.CoV AoE.CoV
AoE.FullFactorial AoE.FullFactorial design generator
AoE.GetMorrisOutput AoE.GetMorrisOutput
AoE.LatinHypercube AoE.LatinHypercube
AoE.Morris AoE.Morris
AoE.RandomSampling AoE.RandomSampling experiment desing generator
AoE.RMSD AoE.RMSD
AoE.Sobol AoE.Sobol
AoE.Stability AoE.Stability
ApplyFactorRange Corrects the LHS design matrix
BuildParameterSet Builds the simulation parameter set
ClearResults Clear the results data.frame
createOutputDir Create output directory
DFToMatrix DFToMatrix
Easy.Calibration Easy.Calibration
Easy.getChart Easy.getChart
Easy.Morris Easy API for Morris's screening method
Easy.Setup Easy.Setup
Easy.Sobol Easy API for Sobol's SA method
Easy.Stability Easy API for output stability
Engine Creates an instance of Engine
Engine.endAt Configure the maximun simulated time for the current model run
Engine.Finish Performs a cleanup on engine instance.
Engine.getId Returns the model id
Engine.GetModelOutput Gets the model output data as a CSV String array
Engine.getParameter Get the value of model parameter s as java.lang.Object
Engine.getParameterAsDouble Get the value of model parameter s as java.lang.Double
Engine.getParameterAsNumber Get the value of model parameter s as java.lang.Number
Engine.getParameterAsString Get the value of model parameter s as java.lang.String
Engine.getParameterNames Parameter names
Engine.getParameterType Get the type of a model parameter
Engine.LoadModel Loads the scenario files
Engine.RunModel Run the model
Engine.SetAggregateDataSet Sets the model's dataset
Engine.setParameter Set the value of model parameter
getExperimentDataset Helper function to get experiment 'dataset'
getExperimentOutput Helper function to get experiment 'output'
getExperimentParamSet Helper function to get experiment 'paramset'
GetFactorsSize Get the number of factors
getId Gets the model name
getKeyRandom Gets Repast randomSeed name
GetOutput Gets the output
getOutputDir Gets output directory
GetResults Returns the model results
GetResultsParameters Gets the parameters
GetSimulationParameters Gets the simulation parameters
jvm.get_parameters Gets the current java virtual machine parameters
jvm.init Init R/JVM environment
jvm.resetOut jvm.resetOut
jvm.setOut jvm.setOut
jvm.set_parameters Configures the jvm parameters
Load The Scenario loader
Logger.setLevelInfo Set the log level to INFO
Logger.setLevelWarning Set the log level to WARNING
Model The easy API for model initilization
PB.close PB.close
PB.disable PB.disable
PB.enable PB.enable
PB.get PB.get
PB.init PB.init
PB.isEnabled PB.isEnabled
PB.pset PB.pset
PB.set PB.set
PB.update PB.update
Plot.Morris Plot of Morris output
Plot.Sobol Plot of Sobol output
Plot.Stability Plot stability of output
Run Run simulations
RunExperiment Run an experimental setup
SaveSimulationData Saving simulation output
SequenceItem SequenceItem
setId Sets the model name
setKeyRandom Sets Repast randomSeed name
setOutputDir Sets output directory
SetResults Stores a data.frame
SetResultsParameters Sets the parameters
SetSimulationParameter SetSimulationParameter
SetSimulationParameters Set parameters for running model
ShowClassPath Java Classpath
ShowModelPaths Prints the paths