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: | 1.3.5 |
| Depends: | R (≥ 2.6), deSolve, rootSolve, coda |
| Imports: | minpack.lm, MASS, graphics, grDevices, stats, utils, minqa |
| Suggests: | diagram |
| Published: | 2016-09-09 |
| 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 |
| 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_1.3.5.tar.gz |
| Windows binaries: | r-devel: FME_1.3.5.zip, r-release: FME_1.3.5.zip, r-oldrel: FME_1.3.5.zip |
| OS X El Capitan binaries: | r-release: FME_1.3.5.tgz |
| OS X Mavericks binaries: | r-oldrel: FME_1.3.5.tgz |
| Old sources: | FME archive |
| Reverse depends: | BCE, DivE, phytotools |
| Reverse imports: | bioinactivation, bioOED, capm, growthrates, mkin |
| Reverse suggests: | airGR, simecol, SoilR |
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