@article {Prestes Garc{\'\i}a047985, author = {Antonio Prestes Garc{\'\i}a and Alfonso Rodr{\'\i}guez-Pat{\'o}n}, title = {Analyzing Repast Symphony models in R with RRepast package}, elocation-id = {047985}, year = {2016}, doi = {10.1101/047985}, publisher = {Cold Spring Harbor Laboratory}, 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 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.}, URL = {https://www.biorxiv.org/content/early/2016/04/10/047985}, eprint = {https://www.biorxiv.org/content/early/2016/04/10/047985.full.pdf}, journal = {bioRxiv} }