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-4.7-any)BeQut_0.1.0.tar.gz(r-4.6-any)
BeQut_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BeQut/json (API)
| # 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 from:6248e03603. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 177 | ||
| source / vignettes | OK | 252 | ||
| linux-release-x86_64 | OK | 158 | ||
| wasm-release | OK | 99 |
Dependencies:codajagsUIlatticelqmmMASSMatrixnlmerjagsSparseGridsurvival
