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-devel (arm64): EMMREML_3.1.tgz, r-release (arm64): EMMREML_3.1.tgz, r-oldrel (arm64): EMMREML_3.1.tgz, r-devel (x86_64): 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:

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