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.
Downloads:
| Package source: | FME_1.1.1.tar.gz |
| MacOS X binary: | FME_1.1.1.tgz |
| Windows binary: | FME_1.1.1.zip |
| 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
|
| Old sources: | FME archive |
Reverse dependencies: