Package: qbld
Type: Package
Title: Quantile Regression for Binary Longitudinal Data
Version: 1.0.3
Date: 2022-01-05
Author: Ayush Agarwal [aut, cre], Dootika Vats [ctb]
Maintainer: Ayush Agarwal<ayush.agarwal50@gmail.com>
Description: 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.
License: GPL-3
Imports: Rcpp, stats, grDevices, graphics, mcmcse, stableGR, RcppDist,
        knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Depends: R (>= 3.5)
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2026-09-24 08:50:04 UTC; root
Config/pak/sysreqs: cmake libfftw3-dev make libuv1-dev
Repository: https://ayushmclaren.r-universe.dev
Date/Publication: 2022-01-05 23:20:02 UTC
RemoteUrl: https://github.com/cran/qbld
RemoteRef: HEAD
RemoteSha: 4df380e6c3e1a30a482a15538eeff4061ef51cb8