FME: A Flexible Modelling Environment for inverse modelling, sensitivity, identifiability, Monte Carlo analysis

Provides functions to help in fitting models to data, to perform Monte Carlo, sensitivity and identifiability analysis. It is intended to work with models be written as a set of differential equations that are solved either by an integration routine from package deSolve, or a steady-state solver from package rootSolve. However, the methods can also be used with other types of functions.

Version: 1.0
Depends: R (≥ 2.6), deSolve, rootSolve, minpack.lm, MASS, coda
Published: 2009-09-18
Author: Karline Soetaert, Thomas Petzoldt
Maintainer: Karline Soetaert <k.soetaert at nioo.knaw.nl>
License: GPL (≥ 2)
CRAN checks: FME results

Downloads:

Package source: FME_1.0.tar.gz
MacOS X binary: FME_1.0.tgz
Windows binary: FME_1.0.zip
Reference manual: FME.pdf
Vignettes: Sensitivity, calibration, identifiability, Monte Carlo analysis of a dynamic simulation model
FME - tests of the Markov chain Monte Carlo implementation
Sensitivity, calibration, identifiability, Monte Carlo analysis of a nonlinear model
Sensitivity, calibration, identifiability, Monte Carlo analysis of a steady-state model