qbld: Quantile Regression for Binary Longitudinal Data

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: 1.0.1
Depends: R (≥ 3.5)
Imports: Rcpp, stats, grDevices, graphics, mcmcse, stableGR, RcppDist, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppDist
Published: 2020-09-11
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

Downloads:

Reference manual: qbld.pdf
Vignettes: Using qbld
Package source: qbld_1.0.1.tar.gz
Windows binaries: r-devel: qbld_1.0.1.zip, r-release: qbld_1.0.1.zip, r-oldrel: qbld_1.0.1.zip
macOS binaries: r-release: qbld_1.0.1.tgz, r-oldrel: qbld_1.0.1.tgz
Old sources: qbld archive

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