FME

A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability and Monte Carlo Analysis

Installation

About

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.

Citation	FME citation info
fme.r-forge.r-project.org/

Key Metrics

Version	1.3.6.3
R	≥ 2.6
Published	2023-07-05 295 days ago
Needs compilation?	yes
License	GPL-2
License	GPL-3
CRAN checks	FME results

Downloads

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Maintainer

Karline Soetaert

karline.soetaert@nioz.nl

Authors

Karline Soetaert	aut / cre
Thomas Petzoldt	aut

Material

Reference manual
Package source

In Views

Bayesian
DifferentialEquations

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

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

FME archive

Depends

R	≥ 2.6
deSolve
rootSolve
coda

Imports

minpack.lm
MASS
graphics
grDevices
stats
utils
minqa

Suggests

diagram

Reverse Depends

BCE
DivE
spsh

Reverse Imports

biogrowth
bioinactivation
bioOED
capm
cellmigRation
ConsReg
GREENeR
growthrates

Reverse Suggests

airGR
deSolve
simecol
SoilR