solveODE

Number of variables (species) in the system.

num.species

Time points at which to evaluate the ODE system.

timePoints

Function for calculating the derivatives of the ODE system.

ode.system

Current values for the ODE parameter estimates.

params

Efficient Bayesian parameter inference for systems of ordinary
differential equations. The inference is based on adaptive gradient matching
(AGM, Dondelinger et al. 2013 <http://proceedings.mlr.press/v31/dondelinger13a.pdf>,
Macdonald 2017 <http://theses.gla.ac.uk/7987/1/2017macdonaldphd.pdf>),
which offers orders-of-magnitude improvements in computational
efficiency over standard methods that require solving the differential
equation system. Features of the package include flexible specification
of custom ODE systems as R functions, support for missing variables,
Bayesian inference via population MCMC.

solveODE: Solve ODE system explicitly.

Description

Usage

Arguments

Value