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.
|Author||Karline Soetaert <firstname.lastname@example.org>, Thomas Petzoldt <email@example.com>|
|Date of publication||2016-09-08 10:09:45|
|Maintainer||Karline Soetaert <firstname.lastname@example.org>|
|License||GPL (>= 2)|
collin: Estimates the Collinearity of Parameter Sets
cross2long: Convert a dataset in wide (crosstab) format to long...
FME: A Flexible Modelling Environment for Inverse Modelling,...
gaussianWeights: A kernel average smoother function to weigh residuals...
Grid: Grid Distribution
Latinhyper: Latin Hypercube Sampling
modCost: Calculates the Discrepancy of a Model Solution with...
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
pseudoOptim: Pseudo-random Search Optimisation Algorithm of Price (1977)
sensFun: Local Sensitivity Analysis
sensRange: Sensitivity Ranges of a Timeseries or 1-D Variables
Unif: Uniform Random Distribution