PSM: Non-Linear Mixed-Effects modelling using Stochastic Differential Equations. This package provides functions for estimation of linear and non-linear mixed-effects models using stochastic differential equations. Moreover it provides functions for finding smoothed estimates of model states and for simulation. The package allows for any multivariate non-linear time-variant model to be specified, and it also handles multidimensional input, co-variates, missing observations and specification of dosage regimen.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Delattre, Maud; Lavielle, Marc: Coupling the SAEM algorithm and the extended Kalman filter for maximum likelihood estimation in mixed-effects diffusion models (2013)
- Madsen, Henrik; Thyreogd, Poul: Introduction to general and generalized linear models. (2011)
- Klim, Søren; Mortensen, Stig Bousgaard; Kristensen, Niels Rode; Overgaard, Rune Viig; Madsen, Henrik: Population stochastic modelling (PSM) - an R package for mixed-effects models based on stochastic differential equations (2009)