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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>).
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0), survival |
| Imports: | jagsUI, lqmm, MASS |
| Published: | 2023-11-09 |
| DOI: | 10.32614/CRAN.package.BeQut |
| Author: | Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut] |
| Maintainer: | Antoine Barbieri <antoine.barbieri at u-bordeaux.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS 4.x.y |
| Materials: | README NEWS |
| CRAN checks: | BeQut results |
| Reference manual: | BeQut.pdf |
| Package source: | BeQut_0.1.0.tar.gz |
| Windows binaries: | r-devel: BeQut_0.1.0.zip, r-release: BeQut_0.1.0.zip, r-oldrel: BeQut_0.1.0.zip |
| macOS binaries: | r-release (arm64): BeQut_0.1.0.tgz, r-oldrel (arm64): BeQut_0.1.0.tgz, r-release (x86_64): BeQut_0.1.0.tgz, r-oldrel (x86_64): BeQut_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.