Package: FME 1.3.6.3

Karline Soetaert

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.

Authors:Karline Soetaert [aut, cre], Thomas Petzoldt [aut]

FME_1.3.6.3.tar.gz
FME_1.3.6.3.zip(r-4.5)FME_1.3.6.3.zip(r-4.4)FME_1.3.6.3.zip(r-4.3)
FME_1.3.6.3.tgz(r-4.5-x86_64)FME_1.3.6.3.tgz(r-4.5-arm64)FME_1.3.6.3.tgz(r-4.4-x86_64)FME_1.3.6.3.tgz(r-4.4-arm64)FME_1.3.6.3.tgz(r-4.3-x86_64)FME_1.3.6.3.tgz(r-4.3-arm64)
FME_1.3.6.3.tar.gz(r-4.5-noble)FME_1.3.6.3.tar.gz(r-4.4-noble)
FME_1.3.6.3.tgz(r-4.4-emscripten)FME_1.3.6.3.tgz(r-4.3-emscripten)
FME.pdf |FME.html
FME/json (API)

# Install 'FME' in R:
install.packages('FME', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/fme

On CRAN:

Conda:

fortran

8.62 score 9 packages 382 scripts 2.7k downloads 43 mentions 15 exports 8 dependencies

Last updated 2 years agofrom:1e07880fc1. Checks:8 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-win-x86_64NOTEMar 08 2025
R-4.5-mac-x86_64NOTEMar 08 2025
R-4.5-mac-aarch64NOTEMar 08 2025
R-4.5-linux-x86_64NOTEMar 08 2025
R-4.4-win-x86_64OKMar 08 2025
R-4.4-mac-x86_64OKMar 08 2025
R-4.4-mac-aarch64OKMar 08 2025
R-4.4-linux-x86_64OKMar 08 2025
R-4.3-win-x86_64OKMar 08 2025
R-4.3-mac-x86_64OKMar 08 2025
R-4.3-mac-aarch64OKMar 08 2025

Exports:collincross2longgaussianWeightsGridLatinhypermodCostmodCRLmodFitmodMCMCNormobsplotpseudoOptimsensFunsensRangeUnif

Dependencies:codadeSolvelatticeMASSminpack.lmminqaRcpprootSolve

Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME

Rendered fromFME.Rnwusingutils::Sweaveon Mar 08 2025.

Last update: 2014-01-07
Started: 2014-01-07

Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Dynamic Simulation Model

Rendered fromFMEdyna.Rnwusingutils::Sweaveon Mar 08 2025.

Last update: 2014-01-07
Started: 2014-01-07

Tests of the Markov Chain Monte Carlo Implementation

Rendered fromFMEmcmc.Rnwusingutils::Sweaveon Mar 08 2025.

Last update: 2014-01-07
Started: 2014-01-07

Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Nonlinear Model

Rendered fromFMEother.Rnwusingutils::Sweaveon Mar 08 2025.

Last update: 2014-01-07
Started: 2014-01-07

Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Steady-State Model

Rendered fromFMEsteady.Rnwusingutils::Sweaveon Mar 08 2025.

Last update: 2014-10-29
Started: 2014-01-07