FME: A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and 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.

Depends: R (≥ 2.6), deSolve, rootSolve, coda
Imports: minpack.lm, MASS, graphics, grDevices, stats, utils, minqa
Suggests: diagram
Published: 2023-07-05
DOI: 10.32614/CRAN.package.FME
Author: Karline Soetaert ORCID iD [aut, cre], Thomas Petzoldt ORCID iD [aut]
Maintainer: Karline Soetaert <karline.soetaert at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: FME citation info
In views: Bayesian, DifferentialEquations
CRAN checks: FME results


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_1.3.6.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): FME_1.3.6.3.tgz, r-oldrel (arm64): FME_1.3.6.3.tgz, r-release (x86_64): FME_1.3.6.3.tgz, r-oldrel (x86_64): FME_1.3.6.3.tgz
Old sources: FME archive

Reverse dependencies:

Reverse depends: DivE, spsh
Reverse imports: biogrowth, bioinactivation, capm, cellmigRation, ConsReg, GREENeR, growthrates
Reverse suggests: airGR, deSolve, simecol, SoilR


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