Non-Linear Mixed-Effects Modelling using Stochastic Differential
Equations
Description
Functions for fitting linear and non-linear mixed-effects models using
stochastic differential equations (SDEs). The package allows for any multivariate
non-linear time-variant model to be specified, and it also handles multidimensional
input, covariates, missing observations, and specification of dosage regimen.
The provided pipeline relies on the coupling of the FOCE algorithm and Kalman filtering
as outlined by Klim et al (2009, ) and has been
validated against the proprietary software 'NONMEM' (Tornoe et al, 2005,
). Further functions are provided for finding
smoothed estimates of model states and for simulation.