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: 1.3.1
Depends: R (≥ 2.6), deSolve, rootSolve, minpack.lm, MASS, coda
Published: 2014-01-13
Author: Karline Soetaert, Thomas Petzoldt
Maintainer: Karline Soetaert <karline.soetaert at nioz.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: FME citation info
In views: Bayesian, DifferentialEquations
CRAN checks: FME results

Downloads:

Reference manual: FME.pdf
Vignettes: 1. Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME
2. Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Dynamic Simulation Model
3. Tests of the Markov Chain Monte Carlo Implementation
4. Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Nonlinear Model
5. Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Steady-State Model
Package source: FME_1.3.1.tar.gz
MacOS X binary: FME_1.3.1.tgz
Windows binary: FME_1.3.1.zip
Old sources: FME archive

Reverse dependencies:

Reverse depends: DivE, mkin
Reverse imports: capm
Reverse suggests: simecol, SoilR