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>.
Package details 


Author  Tobias Newmiwaka [aut, cre], Benjamin Engelhardt [aut] 
Maintainer  Tobias Newmiwaka <tobias.newmiwaka@gmail.com> 
License  MIT + file LICENSE 
Version  0.9.1 
URL  https://github.com/Newmi1988/seeds 
Package repository  View on CRAN 
Installation 
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