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FME  

A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis
View on CRAN: Click here


Download and install FME package within the R console
Install from CRAN:
install.packages("FME")

Install from Github:
library("remotes")
install_github("cran/FME")

Install by package version:
library("remotes")
install_version("FME", "1.3.6.3")



Attach the package and use:
library("FME")
Maintained by
Karline Soetaert
[Scholar Profile | Author Map]
First Published: 2009-09-18
Latest Update: 2023-07-05
Description:
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.
How to cite:
Karline Soetaert (2009). FME: A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis. R package version 1.3.6.3, https://cran.r-project.org/web/packages/FME. Accessed 10 May. 2025.
Previous versions and publish date:
1.0 (2009-09-18 22:15), 1.1.1 (2011-03-26 15:43), 1.1 (2010-02-01 14:52), 1.3.1 (2014-01-13 11:12), 1.3.2 (2014-11-04 00:11), 1.3.5 (2016-09-09 10:13), 1.3.6.1 (2019-12-18 09:20), 1.3.6.2 (2021-10-12 17:00), 1.3 (2012-03-24 16:18)
Other packages that cited FME R package
View FME citation profile
Other R packages that FME depends, imports, suggests or enhances
Complete documentation for FME
Functions, R codes and Examples using the FME R package
Some associated functions: FME . Grid . Latinhyper . Norm . Unif . collin . cross2long . gaussianWeights . modCRL . modCost . modFit . modMCMC . obsplot . pseudoOptim . sensFun . sensRange . 
Some associated R codes: Grid.R . Latinhyper.R . Norm.R . Unif.R . collin.R . cross2long.R . gaussianWeights.R . modCRL.R . modCost.R . modFit.R . modMCMC.R . obsplot.R . pseudoOptim.R . sensFun.R . sensRange.R . utilities.R .  Full FME package functions and examples
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