episode: Estimation with Penalisation in Systems of Ordinary Differential Equations

A set of statistical tools for inferring unknown parameters in continuous time processes governed by ordinary differential equations (ODE). Moreover, variance reduction and model selection can be obtained through various implemented penalisation schemes. The package offers two estimation procedures: exact estimation via least squares and a faster approximate estimation via inverse collocation methods. All estimators can handle multiple data sets arising from the same ODE system, but subjected to different interventions.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: Matrix (≥ 1.2-9), glmnet (≥ 2.0-10), Rcpp (≥ 0.12.11), methods (≥ 3.4), stats (≥ 3.4), nnls (≥ 1.4)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, devtools
Published: 2017-10-29
Author: Frederik Vissing Mikkelsen [aut, cre]
Maintainer: Frederik Vissing Mikkelsen <mifretz at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: GNU make
CRAN checks: episode results

Downloads:

Reference manual: episode.pdf
Vignettes: Vignette Title
Package source: episode_1.0.0.tar.gz
Windows binaries: r-devel: episode_1.0.0.zip, r-devel-gcc8: episode_1.0.0.zip, r-release: episode_1.0.0.zip, r-oldrel: episode_1.0.0.zip
OS X binaries: r-release: episode_1.0.0.tgz, r-oldrel: episode_1.0.0.tgz

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