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FME (version 1.3.6.2)

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

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.

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Version

Install

install.packages('FME')

Monthly Downloads

1,771

Version

1.3.6.2

License

GPL (>= 2)

Maintainer

Karline Soetaert

Last Published

October 12th, 2021

Functions in FME (1.3.6.2)

cross2long

Convert a dataset in wide (crosstab) format to long (database) format
FME-package

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

Latin Hypercube Sampling
Norm

Normal Random Distribution
modCost

Calculates the Discrepancy of a Model Solution with Observations
gaussianWeights

A kernel average smoother function to weigh residuals according to a Gaussian density function This function is still experimental... use with care
modCRL

Monte Carlo Analysis
Grid

Grid Distribution
Unif

Uniform Random Distribution
collin

Estimates the Collinearity of Parameter Sets
obsplot

Plot Method for observed data
sensFun

Local Sensitivity Analysis
modMCMC

Constrained Markov Chain Monte Carlo
modFit

Constrained Fitting of a Model to Data
sensRange

Sensitivity Ranges of a Timeseries or 1-D Variables
pseudoOptim

Pseudo-random Search Optimisation Algorithm of Price (1977)