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:
FME_1.3.6.3.tar.gz
FME_1.3.6.3.zip(r-4.7)FME_1.3.6.3.zip(r-4.6)FME_1.3.6.3.zip(r-4.5)
FME_1.3.6.3.tgz(r-4.6-x86_64)FME_1.3.6.3.tgz(r-4.6-arm64)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.tar.gz(r-4.7-arm64)FME_1.3.6.3.tar.gz(r-4.7-x86_64)FME_1.3.6.3.tar.gz(r-4.6-arm64)FME_1.3.6.3.tar.gz(r-4.6-x86_64)
FME_1.3.6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
Last updated from:1e07880fc1. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 118 | ||
| linux-devel-x86_64 | NOTE | 136 | ||
| source / vignettes | OK | 184 | ||
| linux-release-arm64 | NOTE | 116 | ||
| linux-release-x86_64 | NOTE | 152 | ||
| macos-release-arm64 | NOTE | 106 | ||
| macos-release-x86_64 | NOTE | 188 | ||
| macos-oldrel-arm64 | NOTE | 92 | ||
| macos-oldrel-x86_64 | NOTE | 204 | ||
| windows-devel | NOTE | 99 | ||
| windows-release | NOTE | 132 | ||
| windows-oldrel | NOTE | 108 | ||
| wasm-release | OK | 89 |
Exports:collincross2longgaussianWeightsGridLatinhypermodCostmodCRLmodFitmodMCMCNormobsplotpseudoOptimsensFunsensRangeUnif
Dependencies:codadeSolvelatticeMASSminpack.lmminqaRcpprootSolve
Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME
Rendered fromFME.Rnwusingutils::Sweaveon May 24 2026.Last update: 2014-01-07
Started: 2014-01-07
Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Dynamic Simulation Model
Rendered fromFMEdyna.Rnwusingutils::Sweaveon May 24 2026.Last update: 2014-01-07
Started: 2014-01-07
Tests of the Markov Chain Monte Carlo Implementation
Rendered fromFMEmcmc.Rnwusingutils::Sweaveon May 24 2026.Last update: 2014-01-07
Started: 2014-01-07
Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Nonlinear Model
Rendered fromFMEother.Rnwusingutils::Sweaveon May 24 2026.Last update: 2014-01-07
Started: 2014-01-07
Sensitivity, Calibration, Identifiability, Monte Carlo Analysis of a Steady-State Model
Rendered fromFMEsteady.Rnwusingutils::Sweaveon May 24 2026.Last update: 2014-10-29
Started: 2014-01-07
