[R-sig-ME] user-defined covariance matrix for linear mixedmodels
David.Duffy at qimr.edu.au
Tue Oct 2 02:14:40 CEST 2012
On Mon, 1 Oct 2012, philippe fullsack wrote:
> Thank you very much Vincent,
> Your answer is completely acceptable. I have used (occasionally) ASReml and
> am aware of your solution. However, I would prefer staying within the R
> framework (i.e. use CRAN open source packages). Similar requests have been
> made in November 2011, but are still unanswered as far as I know.
Title: Gaussian linear models with linear covariance
Author: David Clifford and Peter McCullagh. Additional
contributions by HJ Auinger.
Maintainer: David Clifford <david.clifford at csiro.au>
Description: Functions to fit Gaussian linear model by
maximising the residual log likelihood where the
covariance structure can be written as a linear
combination of known matrices. Can be used for
multivariate models and random effects models.
Easy straight forward manner to specify random
effects models, including random interactions.
| David Duffy (MBBS PhD) ,-_|\
| email: davidD at qimr.edu.au ph: INT+61+7+3362-0217 fax: -0101 / *
| Epidemiology Unit, Queensland Institute of Medical Research \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia GPG 4D0B994A v
More information about the R-sig-mixed-models