Implements the Bayesian quantile regression model for binary longitudinal data (QBLD) developed in Rahman and Vossmeyer (2019) <doi:10.1108/S0731-90532019000040B009>. The model handles both fixed and random effects and implements both a blocked and an unblocked Gibbs sampler for posterior inference.
Version: 1.0.3 Depends: R (≥ 3.5) Imports: Rcpp, stats, grDevices, graphics, mcmcse, stableGR, RcppDist, knitr, rmarkdown LinkingTo: Rcpp, RcppArmadillo, RcppDist Published: 2022-01-06 DOI: 10.32614/CRAN.package.qbld Author: Ayush Agarwal [aut, cre], Dootika Vats [ctb] Maintainer: Ayush Agarwal <ayush.agarwal50 at gmail.com> License: GPL-3 NeedsCompilation: yes Citation: qbld citation info CRAN checks: qbld results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=qbld to link to this page.
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