| 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 |