PSM: Non-Linear Mixed-Effects Modelling using Stochastic Differential Equations
Version 0.8-12

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, ) and has been validated against the proprietary software 'NONMEM' (Tornoe et al, 2005, ). Further functions are provided for finding smoothed estimates of model states and for simulation.

Package details

AuthorStig Bousgaard Mortensen, Soeren Klim, Robert Miller
Date of publication2018-05-12 16:27:48 UTC
MaintainerRobert Miller <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the PSM package in your browser

Any scripts or data that you put into this service are public.

PSM documentation built on May 12, 2018, 5:03 p.m.