TY - JOUR T1 - Analyzing Repast Symphony models in R with <strong>RRepast</strong> package JF - bioRxiv DO - 10.1101/047985 SP - 047985 AU - Antonio Prestes García AU - Alfonso Rodríguez-Patón Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/05/02/047985.abstract N2 - 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. ER -