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, <doi:10.18637/jss.v088.i10>.
Version: 1.0.2 Depends: cOde (≥ 1.0) Imports: deSolve, rootSolve, ggplot2, parallel, stringr, plyr, dplyr, foreach, doParallel Suggests: MASS, reticulate, pander, knitr, rmarkdown Published: 2021-01-27 DOI: 10.32614/CRAN.package.dMod Author: Daniel Kaschek Maintainer: Daniel Kaschek <daniel.kaschek at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: dMod citation info In views: DifferentialEquations CRAN checks: dMod results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=dMod to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4