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-4.7)EMMREML_3.1.zip(r-4.6)EMMREML_3.1.zip(r-4.5)
EMMREML_3.1.tgz(r-4.6-any)EMMREML_3.1.tgz(r-4.5-any)
EMMREML_3.1.tar.gz(r-4.7-any)EMMREML_3.1.tar.gz(r-4.6-any)
EMMREML_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
EMMREML/json (API)

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

On CRAN:

Conda:

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

3.65 score 2 stars 206 scripts 1.1k downloads 22 mentions 3 exports 2 dependencies

Last updated from:cf774e7f51. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK121
source / vignettesOK147
linux-release-x86_64OK135
macos-release-arm64OK195
macos-oldrel-arm64OK201
windows-develOK85
windows-releaseOK73
windows-oldrelOK73
wasm-releaseOK93

Exports:emmremlemmremlMultiKernelemmremlMultivariate

Dependencies:latticeMatrix