Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Analyzing Repast Symphony models in R with RRepast package

Antonio Prestes García, Alfonso Rodríguez-Patón
doi: https://doi.org/10.1101/047985
Antonio Prestes García
Departamento de Inteligencia Artificial,Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alfonso Rodríguez-Patón
Departamento de Inteligencia Artificial,Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted May 02, 2016.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Analyzing Repast Symphony models in R with RRepast package
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Analyzing Repast Symphony models in R with RRepast package
Antonio Prestes García, Alfonso Rodríguez-Patón
bioRxiv 047985; doi: https://doi.org/10.1101/047985
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Analyzing Repast Symphony models in R with RRepast package
Antonio Prestes García, Alfonso Rodríguez-Patón
bioRxiv 047985; doi: https://doi.org/10.1101/047985

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Bioinformatics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4239)
  • Biochemistry (9171)
  • Bioengineering (6804)
  • Bioinformatics (24062)
  • Biophysics (12154)
  • Cancer Biology (9564)
  • Cell Biology (13824)
  • Clinical Trials (138)
  • Developmental Biology (7656)
  • Ecology (11736)
  • Epidemiology (2066)
  • Evolutionary Biology (15540)
  • Genetics (10670)
  • Genomics (14358)
  • Immunology (9511)
  • Microbiology (22901)
  • Molecular Biology (9129)
  • Neuroscience (49107)
  • Paleontology (357)
  • Pathology (1487)
  • Pharmacology and Toxicology (2583)
  • Physiology (3851)
  • Plant Biology (8351)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2301)
  • Systems Biology (6205)
  • Zoology (1302)