Title: Non-Linear Mixed-Effects Modelling using Stochastic Differential
Author: Stig Bousgaard Mortensen <stigbm@gmail.com>, Søren Klim <soren@klimens.dk>
Imports: deSolve, graphics, MASS, numDeriv, stats, ucminf
Description: 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.
input, covariates, missing observations, and specification of

Author: Stig Bousgaard Mortensen, Soeren Klim, Robert Miller
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.

Packaged: Tue Sep 16 04:40:57 2008; theussl

Packaged: Fri Sep 19 04:36:51 2008; theussl

Author: Stig Mortensen <sbm@imm.dtu.dk> and S\xF8ren Klim <skl@imm.dtu.dk>
Depends: MASS, numDeriv, odesolve, ucminf
Packaged: Wed Feb 25 04:58:25 2009; rforge

Author: Stig Bousgaard Mortensen <sbm@imm.dtu.dk> and S�ren Klim
model to be specified, and it also handels multidimentional

Packaged: Thu Jun 12 04:41:42 2008; theussl

Title: Population structure inference using mixture model
Authors@R: c(person(given = "Baolin", family = "Wu", role = c("aut","cph"),email = "baolin@umn.edu"),
person(given = "Nianjun", family = "Liu", role = c("aut","cph"),email = "nliu@ms.soph.uab.edu"),
person(given = "Hongyu", family = "Zhao", role = c("aut","cph"),email = "hongyu.zhao@yale.edu"),
person(given = "Jose", family = "Gama", role = "cre",email = "jgama@abo.fi"))
Description: population structure inference using likelihood-based approach