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:Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut]

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'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 1 stars 0.09 score 10 dependencies 231 downloads

Last updated 10 months agofrom:6248e03603. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-linuxOKSep 04 2024

Exports:deviancelqmlqmmqrjm

Dependencies:codajagsUIlatticelqmmMASSMatrixnlmerjagsSparseGridsurvival