Documentation
User Guides

Package vignette [pdf]
The vignette gives a short description of PSM
along with some examples. It can also be opened from R by writing:
vignette("PSM"). The vignette
has been written using Sweave and all code examples can thus
be extracted from the Sweavefile. More details are found in
the vignette.

HTML
help [html] PDF
help [pdf]
Help files included in PSM. They can also be
accesed by writing help(PSM) in R.

Slides
with overview of PSM [pdf]
Slides from a course in May 2008 about PK modelling
using SDEs. The slides give a short description of how to use
PSM using a simple linear model as example.
Validation

Comparison with NONMEM [pdf]
The document shows that the likelihood function in PSM is
equivalient to the likelihood function in NONMEM for both ODE
and SDE models. It also compares the estimates of the random
effects (etas) between the two programs.
NM_Validation [zip]
contains the files used for the validation.

Comparison with CTSM [pdf]
The document shows that the likelihood function in PSM is
equivalent to the likelihood function in CTSM for a nonlinear model with
SDEs. It also shows that the state estimates are identical and that the
error estimates of the parameter estimates are very similar.
References
Klim S, Mortensen SB, Kristensen NR, Overgaard RV and Madsen H (2009),
Population stochastic modelling (PSM)  An R package for mixedeffects
models based on stochastic differential equations,
Computer Methods and Programs in Biomedicine, 94(3), pp. 279289. [link]
Klim S, Mortensen SB and Madsen H (2008),
Linear Mixed Effects models based on Stochastic Differential
Equations in R, Annual Meeting of the Population Approach
Group in Europe, Marseille, France. [link]
Mortensen SB, Klim S, Dammann B, Kristensen
NR, Madsen H and Overgaard RV (2007), A matlab framework for
estimation of NLME models using stochastic differential
equations  Applications for estimation of insulin secretion
rates, Journal of Pharmacokinetics and Pharmacodynamics 34(5), pp. 623642. [link]
