Package: jlme 0.4.2
jlme: Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in 'Julia'
Bindings to 'Julia' packages 'GLM.jl' <doi:10.5281/zenodo.3376013> and 'MixedModels.jl' <doi:10.5281/zenodo.12575371>, powered by 'JuliaConnectoR'. Fits (generalized) linear (mixed-effects) regression models in 'Julia' using familiar model fitting syntax from R. Offers 'broom'-style data frame summary functionalities for 'Julia' regression models.
Authors:
jlme_0.4.2.tar.gz
jlme_0.4.2.zip(r-4.7)jlme_0.4.2.zip(r-4.6)jlme_0.4.2.zip(r-4.5)
jlme_0.4.2.tgz(r-4.6-any)jlme_0.4.2.tgz(r-4.5-any)
jlme_0.4.2.tar.gz(r-4.7-any)jlme_0.4.2.tar.gz(r-4.6-any)
jlme_0.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jlme/json (API)
NEWS
| # Install 'jlme' in R: |
| install.packages('jlme', repos = c('https://yjunechoe.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yjunechoe/jlme/issues
Pkgdown/docs site:https://yjunechoe.github.io
Last updated from:b305910eea. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 218 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 140 | ||
| macos-oldrel-arm64 | OK | 187 | ||
| windows-devel | OK | 450 | ||
| windows-release | OK | 526 | ||
| windows-oldrel | OK | 658 | ||
| wasm-release | OK | 99 |
Exports:check_julia_okglanceis_jlissingularjljl_contrastsjl_datajl_dictjl_familyjl_formulajl_getjl_putjlmjlme_setupjlme_statusjlmerlikelihoodratiotestparametricbootstrapprofilelikelihoodpropertynamesstop_juliatidy
Dependencies:genericsJuliaConnectoRJuliaFormulaeMASSrrapply
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Set up Julia connection for jlme | check_julia_ok jlme_setup jlme_status stop_julia |
| Fit a (mixed-effects) regression model in Julia | jlm jlmer |
| Re-exported functions for interacting with Julia model objects | issingular jlme-model-reexports likelihoodratiotest propertynames |
| Parametric bootstrap for Julia mixed effects models | parametricbootstrap |
| Profile the likelihood surface of Julia mixed effects models | profilelikelihood |
| Tidier methods for Julia regression models | glance.jlme jlme_tidiers tidy.jlme tidy.jlmeboot tidy.jlmeprof |
