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: 2022-01-05 16:29:17 UTC; mclaren
Repository: CRAN
Date/Publication: 2022-01-06 00:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-29 06:35:43 UTC; unix
Archs: qbld.so.dSYM
