Analyzing Repast Symphony models in R with RRepast package

Antonio Prestes García; Alfonso Rodríguez-Patón

doi:10.1101/047985

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bioRxiv · 10.1101/047985

Analyzing Repast Symphony models in R with RRepast package

Antonio Prestes García·Alfonso Rodríguez-Patón

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Abstract

In order to produce dependable results, the output of models must be carefully evaluated and compared to the experimental data. One of the main goals of analyzing a model is understanding the effect of input factors on the model output. This task is carried out using a methodology known as sensitivity analysis. The analysis of Individual-based Models is hindered by the lack of simple tools allowing a complete and throughout evaluation without much effort. This kind of models tends to have a high level of complexity and the manual execution of a large experimental setup is generally not a feasible choice. Thus, it is required that model evaluation should ideally be simple and robust without demanding a high level of knowledge from modelers. In this work we present the RRepast, an open source GNU R package for executing, calibrating and analyzing Repast Symphony models directly from the R environment.

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Antonio Prestes García, Alfonso Rodríguez-Patón. 2016-04-10. Analyzing Repast Symphony models in R with RRepast package. https://doi.org/10.1101/047985

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