Package: seeds
Type: Package
Title: Estimate Hidden Inputs using the Dynamic Elastic Net
Version: 0.9.1
Authors@R: c(person("Tobias", "Newmiwaka", email = "tobias.newmiwaka@gmail.com",
                  role = c("aut", "cre")),
            person("Benjamin", "Engelhardt", email = "engelhar@bit.uni-bonn.de", 
                    role = c("aut")))
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) <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>.
Maintainer: Tobias Newmiwaka <tobias.newmiwaka@gmail.com>
URL: https://github.com/Newmi1988/seeds
BugReports: https://github.com/Newmi1988/seeds/issues
Depends: R (>= 3.5.0)
biocViews:
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
RoxygenNote: 7.1.1
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2020-07-13 18:13:14 UTC; newmi
Author: Tobias Newmiwaka [aut, cre],
  Benjamin Engelhardt [aut]
Repository: CRAN
Date/Publication: 2020-07-14 00:00:02 UTC
Built: R 4.2.0; ; 2022-04-13 18:23:08 UTC; unix
