PSM: Non-Linear Mixed-Effects Modelling using Stochastic Differential Equations

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, <doi:10.1016/j.cmpb.2009.02.001>) and has been validated against the proprietary software 'NONMEM' (Tornoe et al, 2005, <doi:10.1007/s11095-005-5269-5>). Further functions are provided for finding smoothed estimates of model states and for simulation.

Version: 0.8-12
Imports: deSolve, graphics, MASS, numDeriv, stats, ucminf
Suggests: datasets
Published: 2018-05-12
Author: Stig Bousgaard Mortensen, Soeren Klim, Robert Miller
Maintainer: Robert Miller <robert.miller at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PSM results


Reference manual: PSM.pdf
Vignettes: Population Stochastic Modelling: Model definition, description and examples
Package source: PSM_0.8-12.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X binaries: r-release: PSM_0.8-12.tgz, r-oldrel: PSM_0.8-11.tgz
Old sources: PSM archive


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