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: <>.

Package details

AuthorTobias Newmiwaka [aut, cre], Benjamin Engelhardt [aut]
MaintainerTobias Newmiwaka <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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seeds documentation built on July 14, 2020, 1:07 a.m.