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

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

## Documentation for package ‘FME’ version 1.3.6.4

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

FME-package | A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability, Monte Carlo Analysis.
coef.modFit | Constrained Fitting of a Model to Data
collin | Estimates the Collinearity of Parameter Sets
cross2long | Convert a dataset in wide (crosstab) format to long (database) format
deviance.modFit | Constrained Fitting of a Model to Data
df.residual.modFit | Constrained Fitting of a Model to Data
FME | A Flexible Modelling Environment for Inverse Modelling, Sensitivity, Identifiability, Monte Carlo Analysis.
gaussianWeights | A kernel average smoother function to weigh residuals according to a Gaussian density function This function is still experimental... use with care
Grid | Grid Distribution
hist.modCRL | Monte Carlo Analysis
hist.modMCMC | Constrained Markov Chain Monte Carlo
Latinhyper | Latin Hypercube Sampling
modCost | Calculates the Discrepancy of a Model Solution with Observations
modCRL | Monte Carlo Analysis
modFit | Constrained Fitting of a Model to Data
modMCMC | Constrained Markov Chain Monte Carlo
Norm | Normal Random Distribution
obsplot | Plot Method for observed data
pairs.modCRL | Monte Carlo Analysis
pairs.modMCMC | Constrained Markov Chain Monte Carlo
pairs.sensFun | Local Sensitivity Analysis
plot.collin | Estimates the Collinearity of Parameter Sets
plot.modCRL | Monte Carlo Analysis
plot.modFit | Constrained Fitting of a Model to Data
plot.modMCMC | Constrained Markov Chain Monte Carlo
plot.sensFun | Local Sensitivity Analysis
plot.sensRange | Sensitivity Ranges of a Timeseries or 1-D Variables
plot.summary.sensFun | Local Sensitivity Analysis
plot.summary.sensRange | Sensitivity Ranges of a Timeseries or 1-D Variables
print.collin | Estimates the Collinearity of Parameter Sets
print.summary.modFit | Constrained Fitting of a Model to Data
pseudoOptim | Pseudo-random Search Optimisation Algorithm of Price (1977)
residuals.modFit | Constrained Fitting of a Model to Data
sensFun | Local Sensitivity Analysis
sensRange | Sensitivity Ranges of a Timeseries or 1-D Variables
summary.modCRL | Monte Carlo Analysis
summary.modFit | Constrained Fitting of a Model to Data
summary.modMCMC | Constrained Markov Chain Monte Carlo
summary.sensFun | Local Sensitivity Analysis
summary.sensRange | Sensitivity Ranges of a Timeseries or 1-D Variables
Unif | Uniform Random Distribution