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.
| Version: |
1.3.6.2 |
| Depends: |
R (≥ 2.6), deSolve, rootSolve, coda |
| Imports: |
minpack.lm, MASS, graphics, grDevices, stats, utils, minqa |
| Suggests: |
diagram |
| Published: |
2021-10-12 |
| Author: |
Karline Soetaert 
[aut, cre],
Thomas Petzoldt
[aut] |
| Maintainer: |
Karline Soetaert <karline.soetaert at nioz.nl> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://fme.r-forge.r-project.org/ |
| NeedsCompilation: |
yes |
| Citation: |
FME citation info |
| In views: |
Bayesian, DifferentialEquations |
| CRAN checks: |
FME results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
BCE, DivE, spsh |
| Reverse imports: |
biogrowth, bioinactivation, bioOED, capm, cellmigRation, ConsReg, GREENeR, growthrates |
| Reverse suggests: |
airGR, deSolve, simecol, SoilR |
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