dMod: 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.

Version: 0.1
Depends: cOde, trust, ggplot2
Suggests: MASS, inline, rPython, rootSolve
Published: 2015-06-11
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek at physik.uni-freiburg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: dMod results

Downloads:

Reference manual: dMod.pdf
Package source: dMod_0.1.tar.gz
Windows binaries: r-devel: dMod_0.1.zip, r-release: dMod_0.1.zip, r-oldrel: dMod_0.1.zip
OS X Snow Leopard binaries: r-release: dMod_0.1.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: dMod_0.1.tgz