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seeds  

Estimate Hidden Inputs using the Dynamic Elastic Net
View on CRAN: Click here


Download and install seeds package within the R console
Install from CRAN:
install.packages("seeds")

Install from Github:
library("remotes")
install_github("cran/seeds")

Install by package version:
library("remotes")
install_version("seeds", "0.9.1")



Attach the package and use:
library("seeds")
Maintained by
Tobias Newmiwaka
[Scholar Profile | Author Map]
First Published: 2020-03-20
Latest Update: 2020-07-14
Description:
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) . To use the experimental SBML import function, the 'rsbml' package is required. For installation I refer to the official 'rsbml' page: .
How to cite:
Tobias Newmiwaka (2020). seeds: Estimate Hidden Inputs using the Dynamic Elastic Net. R package version 0.9.1, https://cran.r-project.org/web/packages/seeds. Accessed 28 Feb. 2025.
Previous versions and publish date:
0.9.0 (2020-03-20 15:20)
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Complete documentation for seeds
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