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. The methods used in dMod were published in Kaschek et al, 2019, .


Reference manual

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1.0.2 by Daniel Kaschek, 9 months ago

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

Authors: Daniel Kaschek

Documentation:   PDF Manual  

Task views: Differential Equations

GPL (>= 2) license

Imports deSolve, rootSolve, ggplot2, parallel, stringr, plyr, dplyr, foreach, doParallel

Depends on cOde

Suggests MASS, reticulate, pander, knitr, rmarkdown

See at CRAN