RT Journal Article SR Electronic T1 Analyzing Repast Symphony models in R with RRepast package JF bioRxiv FD Cold Spring Harbor Laboratory SP 047985 DO 10.1101/047985 A1 Antonio Prestes García A1 Alfonso Rodríguez-Patón YR 2016 UL http://biorxiv.org/content/early/2016/04/10/047985.abstract AB 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 the 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 model 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.