Package: bayesQR 2.4

Dries F. Benoit

bayesQR: Bayesian Quantile Regression

Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) <doi:10.1016/S0167-7152(01)00124-9>, Benoit & Van den Poel (2012) <doi:10.1002/jae.1216> and Al-Hamzawi, Yu & Benoit (2012) <doi:10.1177/1471082X1101200304>. To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.

Authors:Dries F. Benoit, Rahim Al-Hamzawi, Keming Yu, Dirk Van den Poel

bayesQR_2.4.tar.gz
bayesQR_2.4.tar.gz(r-4.5-noble)bayesQR_2.4.tar.gz(r-4.4-noble)
bayesQR_2.4.tgz(r-4.4-emscripten)bayesQR_2.4.tgz(r-4.3-emscripten)
bayesQR.pdf |bayesQR.html
bayesQR/json (API)

# Install 'bayesQR' in R:
install.packages('bayesQR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

fortranopenblas

2.12 score 3 stars 33 scripts 1.3k downloads 1 mentions 2 exports 0 dependencies

Last updated 1 years agofrom:9db6e4b7c7. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64OKDec 01 2024

Exports:bayesQRprior

Dependencies: