Algorithms to calculate the hidden inputs of systems of differential equations. These hidden inputs can be interpreted as a control that tries to minimize the discrepancies between a given model and taken measurements. The idea is also called the Dynamic Elastic Net, as proposed in the paper "Learning (from) the errors of a systems biology model" (Engelhardt, Froelich, Kschischo 2016) <doi:10.1038/srep20772>. To use the experimental SBML import function, the 'rsbml' package is required. For installation I refer to the official 'rsbml' page: <https://bioconductor.org/packages/release/bioc/html/rsbml.html>.
| Version: | 0.9.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | deSolve (≥ 1.20), pracma (≥ 2.1.4), Deriv (≥ 3.8.4), Ryacas, stats, graphics, methods, mvtnorm, matrixStats, statmod, coda, MASS, ggplot2, tidyr, dplyr, Hmisc, R.utils, callr |
| Suggests: | knitr, rmarkdown, rsbml |
| Published: | 2020-07-14 |
| Author: | Tobias Newmiwaka [aut, cre], Benjamin Engelhardt [aut] |
| Maintainer: | Tobias Newmiwaka <tobias.newmiwaka at gmail.com> |
| BugReports: | https://github.com/Newmi1988/seeds/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Newmi1988/seeds |
| NeedsCompilation: | no |
| CRAN checks: | seeds results |
| Reference manual: | seeds.pdf |
| Vignettes: |
Seeds: Calculating the hidden inputs in a system |
| Package source: | seeds_0.9.1.tar.gz |
| Windows binaries: | r-devel: seeds_0.9.1.zip, r-release: seeds_0.9.1.zip, r-oldrel: seeds_0.9.1.zip |
| macOS binaries: | r-release: seeds_0.9.1.tgz, r-oldrel: seeds_0.9.1.tgz |
| Old sources: | seeds archive |
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