Package: EMMREML 3.1

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.

Authors:Deniz Akdemir, Okeke Uche Godfrey

EMMREML_3.1.tar.gz
EMMREML_3.1.zip(r-4.5)EMMREML_3.1.zip(r-4.4)EMMREML_3.1.zip(r-4.3)
EMMREML_3.1.tgz(r-4.4-any)EMMREML_3.1.tgz(r-4.3-any)
EMMREML_3.1.tar.gz(r-4.5-noble)EMMREML_3.1.tar.gz(r-4.4-noble)
EMMREML_3.1.tgz(r-4.4-emscripten)EMMREML_3.1.tgz(r-4.3-emscripten)
EMMREML.pdf |EMMREML.html
EMMREML/json (API)

# Install 'EMMREML' in R:
install.packages('EMMREML', repos = c('https://denizakdemir.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.63 score 2 stars 211 scripts 998 downloads 22 mentions 3 exports 2 dependencies

Last updated 9 years agofrom:cf774e7f51. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 22 2024
R-4.5-winOKOct 22 2024
R-4.5-linuxOKOct 22 2024
R-4.4-winOKOct 22 2024
R-4.4-macOKOct 22 2024
R-4.3-winOKOct 22 2024
R-4.3-macOKOct 22 2024

Exports:emmremlemmremlMultiKernelemmremlMultivariate

Dependencies:latticeMatrix