PSM-package {PSM}R Documentation

Population Stochastic Modelling

Description

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 model.

PSM.smooth
Optimal estimates of model states based on estimated parameters.

PSM.simulate
Simulate data for multiple individuals.

Note

For further details please also read the package vignette pdf-document by writing vignette("PSM") in R.

Author(s)

Stig B. Mortensen and Søren Klim

Maintainer: Søren Klim <skl@imm.dtu.dk>

References

Stig B. Mortensen, Søren 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.

Web: http://www.imm.dtu.dk/psm

See Also

PSM.estimate, PSM.smooth, PSM.simulate, PSM.template


[Package PSM version 0.8-1 Index]