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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
DOI: 10.32614/CRAN.package.EMMREML
Author: Deniz Akdemir, Okeke Uche Godfrey
Maintainer: Deniz Akdemir <deniz.akdemir.work at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: EMMREML results

Documentation:

Reference manual: EMMREML.pdf

Downloads:

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
macOS binaries: r-release (arm64): EMMREML_3.1.tgz, r-oldrel (arm64): EMMREML_3.1.tgz, r-release (x86_64): EMMREML_3.1.tgz, r-oldrel (x86_64): EMMREML_3.1.tgz
Old sources: EMMREML archive

Reverse dependencies:

Reverse suggests: MoBPS, STPGA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EMMREML to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.