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 (source, R code)Please use the canonical form https://CRAN.R-project.org/package=FME to link to this page.
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