FME-package {FME} | R Documentation |
R-package FME contains functions to run complex applications of models that produce output as a function of input parameters.
Although it was created to be used with models consisting of ordinary differential equations (ODE), partial differential equations (PDE) or differential algebraic equations (DAE), it can work with other models.
It contains:
Function modCost
estimates the (weighted) residuals between model
output and data, variable and model costs.
Function modFit
uses the output of modCost
to find the
best-fit parameters. It provides a wrapper around R's built-in
minimisation routines (optim
, nlm
, nlminb
)
and nls.lm
from package minpack.lm
.
FME also includes an implementation of the pseudo-random search algorithm
(function pseudoOptim
).
sensFun
estimates the sensitivity functions of selected
output variables as a function of model parameters. This is the basis of
uni-variate, bi-variate and multi-variate sensitivity analysis.
collin
uses as input the sensitivity functions and
estimates the "collinearity" index for all possible parameter sets.
This multivariate sensitivity estimate measures approximate linear
dependence and is useful to derive which parameter sets are identifiable
given the data set.
sensRange
produces 'envelopes' around the sensitivity
variables, consisting of a time series or a 1-dimensional set,
as a function of the sensitivity parameters. It produces "envelopes"
around the variables.
modCRL
calculates the values of single variables
as a function of the sensitivity parameters. This function can
be used to run simple "what-if" scenarios
modMCMC
runs a Markov chain Monte Carlo (Bayesian
analysis). It implements the delayed rejection - adaptive Metropolis
(DRAM) algorithm.
Grid
) multinormal (Norm
) or uniform
(Unif
) design, and a latin hypercube sampling (Latinhyper
)
function
Package: | FME |
Type: | Package |
Version: | 1.0 |
Date: | 2009-06-01 |
License: | GNU Public License 2 or above |
Karline Soetaert
Thomas Petzoldt
## Not run: ## show examples (see respective help pages for details) example(modCost) example(sensFun) example(modMCMC) example(modCRL) ## open the directory with documents browseURL(paste(system.file(package="FME"), "/doc", sep="")) ## the vignette vignette("FMEdyna") vignette("FMEsteady") vignette("FMEother") vignette("FMEmcmc") edit(vignette("FMEdyna")) edit(vignette("FMEsteady")) edit(vignette("FMEother")) edit(vignette("FMEmcmc")) ## End(Not run)