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.

Install the latest version of this package by entering the following in R:
install.packages("FME")
AuthorKarline Soetaert <karline.soetaert@nioz.nl>, Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>
Date of publication2016-09-09 10:13:37
MaintainerKarline Soetaert <karline.soetaert@nioz.nl>
LicenseGPL (>= 2)
Version1.3.5

View on CRAN

Functions

coef.modFit Man page
collin Man page
cross2long Man page
deviance.modFit Man page
df.residual.modFit Man page
FME Man page
FME-package Man page
gaussianWeights Man page
Grid Man page
hist.modCRL Man page
hist.modMCMC Man page
Latinhyper Man page
modCost Man page
modCRL Man page
modFit Man page
modMCMC Man page
Norm Man page
obsplot Man page
pairs.modCRL Man page
pairs.modMCMC Man page
pairs.sensFun Man page
plot.collin Man page
plot.modCRL Man page
plot.modFit Man page
plot.modMCMC Man page
plot.sensFun Man page
plot.sensRange Man page
plot.summary.sensFun Man page
plot.summary.sensRange Man page
print.collin Man page
print.summary.modFit Man page
pseudoOptim Man page
residuals.modFit Man page
sensFun Man page
sensRange Man page
summary.modCRL Man page
summary.modFit Man page
summary.modMCMC Man page
summary.sensFun Man page
summary.sensRange Man page
Unif Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.