Package: glmmML 1.1.6
glmmML: Generalized Linear Models with Clustering
Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Authors:
glmmML_1.1.6.tar.gz
glmmML_1.1.6.zip(r-4.5)glmmML_1.1.6.zip(r-4.4)glmmML_1.1.6.zip(r-4.3)
glmmML_1.1.6.tgz(r-4.4-x86_64)glmmML_1.1.6.tgz(r-4.4-arm64)glmmML_1.1.6.tgz(r-4.3-x86_64)glmmML_1.1.6.tgz(r-4.3-arm64)
glmmML_1.1.6.tar.gz(r-4.5-noble)glmmML_1.1.6.tar.gz(r-4.4-noble)
glmmML_1.1.6.tgz(r-4.4-emscripten)glmmML_1.1.6.tgz(r-4.3-emscripten)
glmmML.pdf |glmmML.html✨
glmmML/json (API)
| # Install 'glmmML' in R: |
| install.packages('glmmML', repos = c('https://goranbrostrom.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:e7452f6ecd. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 01 2024 |
| R-4.5-win-x86_64 | OK | Sep 01 2024 |
| R-4.5-linux-x86_64 | OK | Sep 01 2024 |
| R-4.4-win-x86_64 | OK | Sep 01 2024 |
| R-4.4-mac-x86_64 | OK | Sep 01 2024 |
| R-4.4-mac-aarch64 | OK | Sep 01 2024 |
| R-4.3-win-x86_64 | OK | Sep 01 2024 |
| R-4.3-mac-x86_64 | OK | Sep 01 2024 |
| R-4.3-mac-aarch64 | OK | Sep 01 2024 |
Exports:ghqglmmbootglmmbootFitglmmMLglmmML.fitprint.glmmbootprint.glmmMLsummary.glmmbootsummary.glmmML
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gauss-Hermite | ghq |
| Generalized Linear Models with fixed effects grouping | glmmboot |
| Generalized Linear Models with fixed effects grouping | glmmbootFit |
| Generalized Linear Models with random intercept | glmmML |
| Generalized Linear Model with random intercept | glmmML.fit |
| Prints a 'glmmML' object. | print.glmmboot |
| Prints a 'glmmML' object. | print.glmmML |
| Summary of a glmmboot object | summary.glmmboot |
| Summary of a glmmML object | summary.glmmML |
