Package: GMMBoost 1.1.5
Andreas Groll
GMMBoost: Likelihood-Based Boosting for Generalized Mixed Models
Likelihood-based boosting approaches for generalized mixed models are provided.
Authors:
GMMBoost_1.1.5.tar.gz
GMMBoost_1.1.5.tar.gz(r-4.5-noble)GMMBoost_1.1.5.tar.gz(r-4.4-noble)
GMMBoost_1.1.5.tgz(r-4.4-emscripten)GMMBoost_1.1.5.tgz(r-4.3-emscripten)
GMMBoost.pdf |GMMBoost.html✨
GMMBoost/json (API)
# Install 'GMMBoost' in R: |
install.packages('GMMBoost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:2b6df0bd26. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
Exports:bGAMMbGAMMControlbGLMMbGLMMControlOrdinalBoostOrdinalBoostControl
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fit Generalized Semiparametric Mixed-Effects Models | bGAMM |
Control Values for 'bGAMM' fit | bGAMMControl |
Fit Generalized Mixed-Effects Models | bGLMM |
Control Values for 'bGLMM' fit | bGLMMControl |
Likelihood-Based Boosting for Generalized Mixed Models | GMMBoost-package GMMBoost |
Clinical pain study on knee data | knee |
Fit Generalized Mixed-Effects Models | OrdinalBoost |
Control Values for 'OrdinalBoost' fit | OrdinalBoostControl |
German Bundesliga data for the seasons 2008-2010 | soccer |