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FME (version 1.3.2)

A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability, 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

2,093

Version

1.3.2

License

GPL (>= 2)

Maintainer

Karline Soetaert

Last Published

November 3rd, 2014

Functions in FME (1.3.2)

gaussianWeights

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

Estimates the Collinearity of Parameter Sets
Grid

Grid Distribution
Latinhyper

Latin Hypercube Sampling
modCost

Calculates the Discrepancy of a Model Solution with Observations
modMCMC

Constrained Markov Chain Monte Carlo
modFit

Constrained Fitting of a Model to Data
FME-package

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

Monte Carlo Analysis
cross2long

Convert a dataset in wide (crosstab) format to long (database) format
obsplot

Plot Method for observed data
sensFun

Local Sensitivity Analysis
Unif

Uniform Random Distribution
Norm

Normal Random Distribution
pseudoOptim

Pseudo-random Search Optimisation Algorithm of Price (1977)
sensRange

Sensitivity Ranges of a Timeseries or 1-D Variables