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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: |
1.3.6.3 |
| 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 
[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:
| 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
|
Downloads:
Reverse dependencies:
| Reverse depends: |
DivE, spsh |
| Reverse imports: |
biogrowth, bioinactivation, capm, cellmigRation, ConsReg, GREENeR, growthrates |
| Reverse suggests: |
airGR, deSolve, simecol, SoilR |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FME
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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