PT - JOURNAL ARTICLE AU - Antonio Prestes García AU - Alfonso Rodríguez-Patón TI - Analyzing Repast Symphony models in R with <strong>RRepast</strong> package AID - 10.1101/047985 DP - 2016 Jan 01 TA - bioRxiv PG - 047985 4099 - http://biorxiv.org/content/early/2016/05/02/047985.short 4100 - http://biorxiv.org/content/early/2016/05/02/047985.full 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 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.