# Change Log This project adheres to [Semantic Versioning](http://semver.org/). ## [Unreleased] ### Added ### Changed - Run models from Repast source directory ### Fixed ## R/Repast [0.8.0] - 2020-02-18 ### Added - jvm.enablejmx Enable JMX for profiling the java subsystem - jvm.getruntime JVM runtime reference - jvm.memory JVM memory - jvm.runtimegc Force garbage collection - getpkgdefaultcores The default number of cores used by R/Repast in parallel computations - setpkgcores Set the number of cores used by R/Repast - getpkgcores Return the number of cores used by R/Repast - GoToWorkDir sets the model's work dir - GoTopreviousDir Returns to previous work directory - Simple usage examples (inst/examples) for single and multi-core execution. - ShowCores prints the number of cores being used for running a Repast model - Easy.RunExperiment Easy API for runing experimental designs ### Changed - Eliminated dependencies on imports of xlsx and rJava on DESCRIPTION to avoid initializing the JVM on the package load - Citation file including the companion paper - Easy.Calibration Eliminated all references to optimization-driven calibration (see EvoPER package) - Easy.Calibration Has a new parameter for default values of fixed parameters - Easy.Stability Now using parallel wrapper allowing multi-core execution - Easy.Morris Now using parallel wrapper allowing multi-core execution - Easy.Stability Now using parallel wrapper allowing multi-core execution - Easy.Stability Now show how many cores will be used for running the Repast model ### Fixed - rJava JVM heapsize settings - WrapperRun crash when using parallel - Easy.Stability Return to the previous work directory - Easy.Morris Return to the previous work directory ### Removed - simple.fitting Now is part of Easy.Calibration ## R/Repast [0.7.0] - 2018-06-25 ### Added - Easy.Run Compact call for running a simulation model - hybrid.distance A helper function for calculating categorical/quantitative metric - hybrid.value A helper function for generating a list with a value and a range - enginestats.reset Reset the internal statistics - enginestats.calls Update/return the number of model invocations - rrepast-plots.R New file for separate the ploting functions - rrepast-parallel.R New file adding parallel model execution support - parallelize Configure R/Repast for running model in parallel using multicore - ParallelInit Initialize the parallel execution environment - ParallelClose Shutdown the parallel execution environment - ParallelRun Parallel model execution - ParallellRunExperiment Parallel experimental setup execution - WrapperRun Facade for model execution - WrapperRunExperiment Facade for experiment execution - lcontains Auxiliary function for checking if a list contains an element - lget Auxiliary function for getting a list element value - AddFactor0 Polimorphic function for creating factos with range and levels - GetFactorLevels Returns the levels of a R/Repast factor ### Changed - Easy.Stability Added a new parameter for modifying the default model parameters - Easy.Setup Checks added - Easy.Sobol for parallel execution - AddFactor New parameter for truncating values ### Fixed - config.scenario Bug detecting the tag - config.copylib Bug on returning value ## R/Repast [0.6.0] - 2017-03-27 ### Added - GetSimulationParameterType Returns the declared type of a 'Repast' model parameter - config.scenario Add the rrepast integration to the scenario file - config.check Check if Repast model is configured for rrepast - config.copylib Copy the required lib to the Repast model classpath - jarfile Return the full path to some jar inside the rrepast package - check.scenario Check for scenario integration code - check.integration Check for the integration library in the model's library dir - UpdateFixedParameters Modify the value of parameters which should be kept fixed - rrepast-easyapi.R New file for separate the easy api functions - rrepast-aoe.R New file for separate the analysis of experiments functions - rrepast-pb.R New file for separate progress bar helper functions - rrepast-engine.R New file for separate the low level engine methods - rrepast-helper.R New file for holding auxiliary functions - Easy.getPlot For geting plots from Morris and Sobol from returned data structure ### Changed - Easy.Setup Add an option to configure model file and copy jars - AddFactor modified to correctlly build the data frame. - Easy.Morris Added a new parameter for modifying the default model parameters - Easy.Sobol Added a new parameter for modifying the default model parameters ### Fixed - Engine.getParameterType Does no return any value - Fixed title position in ggplot2 plots ## R/Repast [0.5.0] - 2016-05-08 ### Added - Easy.Setup Experiment initialization - Easy.Calibration Find the best set of paramters for the model - Plot.Calibration Plot results of calibration process - AoE.NRMSD Calculates the Normalized Root-Mean-Square - AoE.MAE Calculates the average-error magnitude - simple.fitting Simple calibration method based on experimental setup - filterby Selects a subset of a data frame - col.sum Sum dataset columns - pick.fittest Choose the best solutions - dfround Round dataframe columns - Results.GetExperiment - Results.GetObject - Results.GetCharts - Calibration.GetMemberKeys - Calibration.GetMemberList ### Changed ### Fixed - PB.update Failed to update progress bar correctelly when replication > 1 ## R/Repast [0.4.0] - 2016-04-10 ### Added - The NEWS changelog file - jvm.setOut Send the JVM System.out to a file - jvm.resetOut Send the JVM System.out to R console - getExperimentParamSet - getExperimentOutput - getExperimentDataset - DFToMatrix - PB.* Functions for show a progress bar functions during model run - AoE.RMSD A Root Mean Square Deviation function - AoE.CoV - AoE.ColumnCoV - AoE.Stability - AoE.RandomSampling function for DoE - AoE.LatinHypercube function for DoE - AoE.FullFactorial function for DoE - AoE.Morris function for SA screening - AoE.GetMorrisOutput wrapper for access list members of Morris output - AoE.Sobol function for variance decomposition GSA - Plot.Stability Plot stability chart - Plot.Morris function for ploting Morris's screening output - PLot.Sobol function for ploting Sobol output - Easy.Stability function for determine the number of simulations - Easy.Morris function for Morris's screening in one call - Easy.Sobol Function for Sobol sensitivity analysis ### Changed - LatinHypercube Renamed function LatinHypercube to AoE.LatinHypercube ### Fixed - Fixed dir.exists missing in R version < 3.2 - Engine.setParameter: Coercing parameters types to model types