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EMMREML  

Fitting Mixed Models with Known Covariance Structures
View on CRAN: Click here


Download and install EMMREML package within the R console
Install from CRAN:
install.packages("EMMREML")

Install from Github:
library("remotes")
install_github("cran/EMMREML")

Install by package version:
library("remotes")
install_version("EMMREML", "3.1")



Attach the package and use:
library("EMMREML")
Maintained by
Deniz Akdemir
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-02-26
Latest Update: 2015-07-22
Description:
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.
How to cite:
Deniz Akdemir (2014). EMMREML: Fitting Mixed Models with Known Covariance Structures. R package version 3.1, https://cran.r-project.org/web/packages/EMMREML. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0 (2014-02-26 00:46), 2.0 (2014-05-24 08:12), 3.0 (2015-03-31 22:11)
Other packages that cited EMMREML R package
View EMMREML citation profile
Other R packages that EMMREML depends, imports, suggests or enhances
Complete documentation for EMMREML
Functions, R codes and Examples using the EMMREML R package
Some associated functions: EMMREML-package . emmreml . emmremlMultiKernel . emmremlMultivariate . 
Some associated R codes: emmreml.R . emmremlMultiKernel.R . emmremlMultivariate.R .  Full EMMREML package functions and examples
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