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: | 1.3.2 |

Depends: | R (≥ 2.6), deSolve, rootSolve, coda |

Imports: | minpack.lm, MASS |

Suggests: | diagram |

Published: | 2014-11-04 |

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_1.3.2.tar.gz |

Windows binaries: | r-devel: FME_1.3.2.zip, r-release: FME_1.3.2.zip, r-oldrel: FME_1.3.2.zip |

OS X Snow Leopard binaries: | r-release: FME_1.3.2.tgz, r-oldrel: FME_1.3.2.tgz |

OS X Mavericks binaries: | r-release: FME_1.3.2.tgz |

Old sources: | FME archive |

Reverse depends: | BCE, DivE, phytotools |

Reverse imports: | bioinactivation, capm, mkin |

Reverse suggests: | simecol, SoilR |