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

Documentation:

Reference manual:

cbq.pdf

Downloads:

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 (arm64): cbq_0.2.0.2.tgz, r-oldrel (arm64): cbq_0.2.0.2.tgz, r-release (x86_64): cbq_0.2.0.2.tgz, r-oldrel (x86_64): cbq_0.2.0.2.tgz
Old sources:	cbq archive

Linking:

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