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: 0.2.0.2
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: 2020-10-11
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

Downloads:

Reference manual: cbq.pdf
Package source: cbq_0.2.0.2.tar.gz
Windows binaries: r-devel: cbq_0.2.0.2.zip, r-release: cbq_0.2.0.2.zip, r-oldrel: cbq_0.2.0.2.zip
macOS binaries: r-release: cbq_0.2.0.2.tgz, r-oldrel: cbq_0.2.0.2.tgz
Old sources: cbq archive

Linking:

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