seeds: Estimate Hidden Inputs using the Dynamic Elastic Net
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 |
| DOI: |
10.32614/CRAN.package.seeds |
| 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 |
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