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cbq: Conditional Binary Quantile Models

Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.

Version: 0.2.0.3
Depends: R (≥ 3.4.0)
Imports: methods, Formula, Rcpp (≥ 0.12.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Published: 2023-04-02
DOI: 10.32614/CRAN.package.cbq
Author: Xiao Lu
Maintainer: Xiao LU <xiao.lu.research at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: cbq results

Documentation:

Reference manual: cbq.pdf

Downloads:

Package source: cbq_0.2.0.3.tar.gz
Windows binaries: r-devel: cbq_0.2.0.3.zip, r-release: cbq_0.2.0.3.zip, r-oldrel: cbq_0.2.0.3.zip
macOS binaries: r-release (arm64): cbq_0.2.0.3.tgz, r-oldrel (arm64): cbq_0.2.0.3.tgz, r-release (x86_64): cbq_0.2.0.3.tgz, r-oldrel (x86_64): cbq_0.2.0.3.tgz
Old sources: cbq archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cbq 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.
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