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FME - Calibration, Sensitivity and Monte Carlo Analysis in R

'FME' is an add-on package for the open source data analysis system R designed for confronting a numerical mathematical model with data

What is in FME?

FME contains functions for sensitivity and Monte Carlo analysis, for parameter identifiability, and for fitting a model to data. It provides a Markov-chain based method to estimate parameter confidence intervals. Although its main focus is on mathematical systems that consist of differential equations, FME can deal with other types of models.

Project web pages

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Documentation

Manual and Tutorials

Papers

  • Soetaert, K. & Petzoldt, T. (2010): Inverse modelling, sensitivity and Monte Carlo analysis in R using package FME. Journal of Statistical Software 33(3), 1-28. http://www.jstatsoft.org/v33/i03
  • Developers

    Related Packages

    Mailing list

    Discussions about FME can be directed to the mailing list: r-sig-dynamic-models@r-project.org

    This Special Interest Group for Dynamic Simulation Models in R is a forum for discussing the use of R for implementation, simulation and analysis of dynamic simulation models. The list covers differential equation models as well as other dynamic systems in different application areas: natural sciences, engineering, economy and many others.


    Date: 2010-10-22