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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:0.2.0.4
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:2025-03-06
DOI:10.32614/CRAN.package.cbq
Author:Xiao Lu [aut, cre]
Maintainer:Xiao Lu <xiao.lu.research at gmail.com>
License:MIT + fileLICENSE
NeedsCompilation:yes
SystemRequirements:GNU make
Materials:README
CRAN checks:cbq results

Documentation:

Reference manual:cbq.html ,cbq.pdf

Downloads:

Package source: cbq_0.2.0.4.tar.gz
Windows binaries: r-devel:cbq_0.2.0.4.zip, r-release:cbq_0.2.0.4.zip, r-oldrel:cbq_0.2.0.4.zip
macOS binaries: r-release (arm64):cbq_0.2.0.4.tgz, r-oldrel (arm64):cbq_0.2.0.4.tgz, r-release (x86_64):cbq_0.2.0.4.tgz, r-oldrel (x86_64):cbq_0.2.0.4.tgz
Old sources: cbq archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cbqto link to this page.


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