regress: Gaussian linear models with linear covariance structure

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.

Version: 1.0-0
Date: 2006-06-09
Author: David Clifford, Peter McCullagh
Maintainer: David Clifford <clifford at galton.uchicago.edu>
License: GPL
URL: http://galton.uchicago.edu/~clifford/
In views: Spatial
CRAN checks: regress results

Downloads:

Package source: regress_1.0-0.tar.gz
MacOS X binary: regress_1.0-0.tgz
Windows binary: regress_1.0-0.zip
Reference manual: regress.pdf
Old sources: regress archive