Mixed-effects models using Stochastic Differential Equations
This package provides functions for estimation and simulation of
multivariate linear and non-linear mixed-effects models using stochastic
differential equations. The package allows for multidimensional input,
specification of dosage regimen and is able to return smoothed
estimates of model states.
Details
Function overview:
PSM.estimate
Estimate population parameters for any linear or non-linear model.
PSM.smooth
Optimal estimates of model states based on estimated parameters.
PSM.simulate
Simulate data for multiple individuals.
PSM.plot
Plot data, state estimates ect. for multiple individuals.
PSM.template
Creates a template with R-syntax to help setup a model in PSM.
Note
For further details please also read the package vignette pdf-document
by writing vignette("PSM") in R.
Author(s)
Stig B. Mortensen and S<c3><b8>ren Klim
Maintainer: S<c3><b8>ren Klim <skl@imm.dtu.dk>
References
Stig B. Mortensen, S<c3><b8>ren Klim, Bernd Dammann, Niels R. Kristensen,
Henrik Madsen, Rune V. Overgaard. A matlab framework for estimation of
NLME models using stochastic differential equations: Application for
estimation of insulin secretion rates. J Pharmacokinet Pharmacodyn
(2007) 34:623-642.