R package 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.
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Rami Yaari; Itai Dattner: simode: R Package for statistical inference of ordinary differential equations using separable integral-matching (2018) arXiv
- Frederik Vissing Mikkelsen, Niels Richard Hansen: Learning Large Scale Ordinary Differential Equation Systems (2017) arXiv