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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: 1.0.3
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:

Reference manual: qbld.pdf
Vignettes: Using qbld

Downloads:

Package source: qbld_1.0.3.tar.gz
Windows binaries: r-devel: qbld_1.0.3.zip, r-release: qbld_1.0.3.zip, r-oldrel: qbld_1.0.3.zip
macOS binaries: r-release (arm64): qbld_1.0.3.tgz, r-oldrel (arm64): qbld_1.0.3.tgz, r-release (x86_64): qbld_1.0.3.tgz, r-oldrel (x86_64): qbld_1.0.3.tgz
Old sources: qbld archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qbld to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.