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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.
Getting started
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
Browse package contents
Package details |
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| Author | Karline Soetaert [aut, cre] (<https://orcid.org/0000-0003-4603-7100>), Thomas Petzoldt [aut] (<https://orcid.org/0000-0002-4951-6468>) |
| Maintainer | Karline Soetaert <karline.soetaert@nioz.nl> |
| License | GPL (>= 2) |
| Version | 1.3.6.3 |
| URL | http://fme.r-forge.r-project.org/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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