Dynamic Modeling and Parameter Estimation in ODE Models

The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.3.2 by Daniel Kaschek, 7 months ago

Browse source code at https://github.com/cran/dMod

Authors: Daniel Kaschek

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on cOde, trust, ggplot2, stringr

Suggests MASS, rPython, deSolve, rootSolve, pander, knitr, rmarkdown

See at CRAN