Package: jlme 0.4.0
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_0.4.0.tar.gz
jlme_0.4.0.zip(r-4.5)jlme_0.4.0.zip(r-4.4)jlme_0.4.0.zip(r-4.3)
jlme_0.4.0.tgz(r-4.4-any)jlme_0.4.0.tgz(r-4.3-any)
jlme_0.4.0.tar.gz(r-4.5-noble)jlme_0.4.0.tar.gz(r-4.4-noble)
jlme_0.4.0.tgz(r-4.4-emscripten)jlme_0.4.0.tgz(r-4.3-emscripten)
jlme.pdf |jlme.html✨
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
Last updated 7 days agofrom:02a884c311. Checks:OK: 4 ERROR: 3. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | ERROR | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | ERROR | Oct 30 2024 |
| R-4.4-mac | OK | Oct 30 2024 |
| R-4.3-win | ERROR | Oct 30 2024 |
| R-4.3-mac | OK | Oct 30 2024 |
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 |
