Non-Linear Mixed-Effects Modelling using Stochastic Differential
Equations
Stig Bousgaard Mortensen <stigbm@gmail.com>, Søren Klim <soren@klimens.dk>
deSolve, graphics, MASS, numDeriv, stats, ucminf
Functions for fitting linear and non-linear mixed-effects models using
stochastic differential equations (SDEs). 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 (Tornøe et al, 2005,
<doi:10.1007/s11095-005-5269-5>). Further functions are provided
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, covariates, missing observations, and specification of
dosage regimen.

Stig Bousgaard Mortensen, Soeren Klim, Robert Miller
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.

Stig Mortensen <sbm@imm.dtu.dk> and S\xF8ren Klim <skl@imm.dtu.dk>

Stig Bousgaard Mortensen <sbm@imm.dtu.dk> and Søren Klim
<skl@imm.dtu.dk>
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 handels multidimentional
input, co-variates, missing observations and specification of
dosage regimen.