EMMREML: Fitting Mixed Models with Known Covariance Structures

The main functions are 'emmreml', and 'emmremlMultiKernel'. 'emmreml' solves a mixed model with known covariance structure using the 'EMMA' algorithm. 'emmremlMultiKernel' is a wrapper for 'emmreml' to handle multiple random components with known covariance structures. The function 'emmremlMultivariate' solves a multivariate gaussian mixed model with known covariance structure using the 'ECM' algorithm.

Version: 3.1
Depends: Matrix, stats
Published: 2015-07-22
Author: Deniz Akdemir, Okeke Uche Godfrey
Maintainer: Deniz Akdemir <deniz.akdemir.work at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: EMMREML results

Downloads:

Reference manual: EMMREML.pdf
Package source: EMMREML_3.1.tar.gz
Windows binaries: r-devel: EMMREML_3.1.zip, r-release: EMMREML_3.1.zip, r-oldrel: EMMREML_3.1.zip
OS X Snow Leopard binaries: r-release: EMMREML_3.1.tgz, r-oldrel: EMMREML_3.0.tgz
OS X Mavericks binaries: r-release: EMMREML_3.1.tgz
Old sources: EMMREML archive