rrepast0.8.0 package

Invoke 'Repast Simphony' Simulation Models

AddFactor

Adds a paramter to factor collection

AddFactor0

AddFactor0

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.MAE

AoE.MAE

AoE.Morris

AoE.Morris

AoE.NRMSD

AoE.NRMSD

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

Calibration.GetMemberKeys

Calibration.GetMemberKeys

Calibration.GetMemberList

Calibration.GetMemberList

check.integration

check.integration

check.scenario

check.scenario

ClearResults

Clear the results data.frame

col.sum

col.sum

config.check

config.check

config.copylib

config.copylib

config.scenario

config.scenario

createOutputDir

Create output directory

df2matrix

df2matrix

dffilterby

dffilterby

dfround

dfround

dfsumcol

dfsumcol

Easy.Calibration

Easy.Calibration

Easy.getChart

Easy.getChart

Easy.getPlot

Easy.getPlot

Easy.Morris

Easy API for Morris's screening method

Easy.Run

Easy API for running a model

Easy.RunExperiment

Easy API for Runnning Experiments

Easy.Setup

Easy.Setup

Easy.ShowModelParameters

Easy.ShowModelParameters

Easy.Sobol

Easy API for Sobol's SA method

Easy.Stability

Easy API for output stability

Engine.endAt

Engine.endAt

Engine.Finish

Engine.Finish

Engine.getId

Returns the model id

Engine.GetModelOutput

Engine.GetModelOutput

Engine.getParameter

Engine.getParameter

Engine.getParameterAsDouble

Engine.getParameterAsDouble

Engine.getParameterAsNumber

Engine.getParameterAsNumber

Engine.getParameterAsString

Engine.getParameterAsString

Engine.getParameterNames

Engine.getParameterNames

Engine.getParameterType

Engine.getParameterType

Engine.LoadModel

Engine.LoadModel

Engine

Engine

Engine.resetModelOutput

Engine.resetModelOutput

Engine.RunModel

Engine.RunModel

Engine.SetAggregateDataSet

Engine.SetAggregateDataSet

Engine.setParameter

Engine.setParameter

enginestats.calls

enginestats.calls

enginestats.reset

enginestats.reset

getExperimentDataset

Helper function to get experiment dataset

getExperimentOutput

Helper function to get experiment output

getExperimentParamSet

Helper function to get experiment paramset

GetFactorLevels

GetFactorLevels

GetFactorsSize

Get the number of factors

getId

Gets the model name

getKeyRandom

Gets Repast randomSeed name

getLogDir

getLogDir()

GetOutput

Gets the output

getOutputDir

Gets output directory

getpkgcores

getpkgcores

getpkgdefaultcores

getpkgdefaultcores

GetResults

Returns the model results

GetResultsParameters

Gets the parameters

GetSimulationParameters

Gets the simulation parameters

GetSimulationParameterType

GetSimulationParameterType

GoToPreviousDir

GoToPreviousDir

GoToWorkDir

GoToWorkDir

hybrid.distance

hybrid.distance

hybrid.value

hybrid.value

jarfile

jarfile

jvm.enablejmx

jvm.enablejmx

jvm.get_parameters

jvm.get_parameters

jvm.getruntime

jvm.getruntime

jvm.init

Init R/JVM environment

jvm.memory

jvm.memory

jvm.resetOut

jvm.resetOut

jvm.runtimegc

jvm.runtimegc

jvm.set_parameters

jvm.set_parameters

jvm.setOut

jvm.setOut

lcontains

lcontains

lget

get

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

ParallelClose

ParallelClose

ParallelInit

ParallelInit

parallelize

parallelize

ParallellRunExperiment

ParallellRunExperiment

ParallelRun

ParallelRun

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.rnum

PB.rnum

PB.set

PB.set

PB.update

PB.update

pick.fittest

pick.fittest

Plot.Calibration

Plot of calibration

Plot.Morris

Plot of Morris output

Plot.Sobol

Plot of Sobol output

Plot.Stability

Plot stability of output

Results.GetCharts

Results.GetCharts

Results.GetExperiment

Results.GetExperiment

Results.GetObject

Results.GetObject

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

setpkgcores

setpkgcores

SetResults

Stores a data.frame

SetResultsParameters

Sets the parameters

SetSimulationParameter

SetSimulationParameter

SetSimulationParameters

Set parameters for running model

ShowClassPath

ShowClassPath

ShowCores

ShowUsedCores

ShowModelPaths

ShowModelPaths

UpdateDefaultParameters

UpdateDefaultParameters

WrapperRun

WrapperRun

WrapperRunExperiment

WrapperRunExperiment

An R and Repast integration tool for running individual-based (IbM) simulation models developed using 'Repast Simphony' Agent-Based framework directly from R code supporting multicore execution. This package integrates 'Repast Simphony' models within R environment, making easier the tasks of running and analyzing model output data for automated parameter calibration and for carrying out uncertainty and sensitivity analysis using the power of R environment.

  • Maintainer: Antonio Prestes Garcia
  • License: MIT + file LICENSE
  • Last published: 2020-02-19