Package: jglmm 0.1.0.9001

jglmm: Generalized Mixed-Effects Models in Julia

R package for interfacing with Julia's MixedModels library to fit generalized linear mixed-effects models, similar to the lme4 package in R (<http://dmbates.github.io/MixedModels.jl/latest/>).

Authors:Mika Braginsky [aut, cre]

jglmm_0.1.0.9001.tar.gz
jglmm_0.1.0.9001.zip(r-4.7-any)jglmm_0.1.0.9001.zip(r-4.6-any)jglmm_0.1.0.9001.zip(r-4.5-any)
jglmm_0.1.0.9001.tgz(r-4.6-any)jglmm_0.1.0.9001.tgz(r-4.5-any)
jglmm_0.1.0.9001.tar.gz(r-4.7-any)jglmm_0.1.0.9001.tar.gz(r-4.6-any)
jglmm_0.1.0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
jglmm/json (API)

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

Bug tracker:https://github.com/mikabr/jglmm/issues

Datasets:

On CRAN:

Conda:

3.40 score 7 stars 36 scripts 2 exports 40 dependencies

Last updated from:7378659a89. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develERROR169
source / vignettesOK217
linux-releaseERROR159
macos-releaseERROR112
macos-oldrelERROR93
windows-develERROR123
windows-releaseERROR104
windows-oldrelERROR106
wasm-releaseOK123

Exports:jglmmjglmm_setup

Dependencies:bootclicpp11dplyrevaluategenericsgluehighrJuliaCallknitrlatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigpurrrR6rbibutilsRcppRcppEigenRdpackreformulasrjsonrlangstringistringrtibbletidyrtidyselectutf8vctrswithrxfunyaml