Package: BeQut 0.1.0
Antoine Barbieri
BeQut: Bayesian Estimation for Quantile Regression Mixed Models
Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).
Authors:
BeQut_0.1.0.tar.gz
BeQut_0.1.0.tar.gz(r-4.5-noble)BeQut_0.1.0.tar.gz(r-4.4-noble)
BeQut_0.1.0.tgz(r-4.4-emscripten)BeQut_0.1.0.tgz(r-4.3-emscripten)
BeQut.pdf |BeQut.html✨
BeQut/json (API)
NEWS
| # Install 'BeQut' in R: |
| install.packages('BeQut', repos = c('https://cran.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 1 years agofrom:6248e03603. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
Dependencies:codajagsUIlatticelqmmMASSMatrixnlmerjagsSparseGridsurvival
