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FME (version 1.3.6.3)

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

2,275

Version

1.3.6.3

License

GPL (>= 2)

Last Published

July 5th, 2023

Functions in FME (1.3.6.3)

FME-package

A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability, Monte Carlo Analysis.
cross2long

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

Uniform Random Distribution
gaussianWeights

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

Calculates the Discrepancy of a Model Solution with Observations
Latinhyper

Latin Hypercube Sampling
modCRL

Monte Carlo Analysis
Grid

Grid Distribution
collin

Estimates the Collinearity of Parameter Sets
Norm

Normal Random Distribution
obsplot

Plot Method for observed data
sensFun

Local Sensitivity Analysis
pseudoOptim

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

Constrained Fitting of a Model to Data
modMCMC

Constrained Markov Chain Monte Carlo
sensRange

Sensitivity Ranges of a Timeseries or 1-D Variables