Package: MMeM 0.1.1

MMeM: Multivariate Mixed Effects Model

Analyzing data under multivariate mixed effects model using multivariate REML and multivariate Henderson3 methods. See Meyer (1985) <doi:10.2307/2530651> and Wesolowska Janczarek (1984) <doi:10.1002/bimj.4710260613>.

Authors:Luyao Peng [aut, cre], Rui Yang [aut]

MMeM_0.1.1.tar.gz
MMeM_0.1.1.zip(r-4.7-any)MMeM_0.1.1.zip(r-4.6-any)MMeM_0.1.1.zip(r-4.5-any)
MMeM_0.1.1.tgz(r-4.6-any)MMeM_0.1.1.tgz(r-4.5-any)
MMeM_0.1.1.tar.gz(r-4.7-any)MMeM_0.1.1.tar.gz(r-4.6-any)
MMeM_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MMeM/json (API)

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

Bug tracker:https://github.com/pengluyaoyao/mmem/issues

Datasets:

On CRAN:

Conda:

3.18 score 2 stars 15 scripts 255 downloads 3 exports 26 dependencies

Last updated from:92f1beeba5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK169
source / vignettesOK193
linux-releaseOK126
macos-releaseOK170
macos-oldrelOK193
windows-develOK94
windows-releaseOK93
windows-oldrelOK87
wasm-releaseOK97

Exports:MMeM_henderson3MMeM_remlMMeM_terms

Dependencies:bootcliglueGPArotationjointDiaglatticelifecyclelme4magrittrMASSMatrixmatrixcalcminqamnormtnlmenloptrpsychrbibutilsRcppRcppEigenRdpackreformulasrlangstringistringrvctrs