AdjBQR: Adjusted Bayesian Quantile Regression Inference

Adjusted inference for Bayesian quantile regression based on asymmetric Laplace working likelihood, for details see Yang, Y., Wang, H. and He, X. (2015), Posterior inference in Bayesian quantile regression with asymmetric Laplace likelihood, International Statistical Review, 2015 <doi:10.1111/insr.12114>.

Version: 1.0
Depends: quantreg, MHadaptive, coda, survival
Published: 2016-10-30
Author: Huixia Judy Wang and Yunwen Yang
Maintainer: Huixia Judy Wang <judywang at gwu.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: AdjBQR results

Downloads:

Reference manual: AdjBQR.pdf
Package source: AdjBQR_1.0.tar.gz
Windows binaries: r-devel: AdjBQR_1.0.zip, r-release: AdjBQR_1.0.zip, r-oldrel: AdjBQR_1.0.zip
OS X Mavericks binaries: r-release: AdjBQR_1.0.tgz, r-oldrel: AdjBQR_1.0.tgz

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