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>.

AuthorHuixia Judy Wang and Yunwen Yang
Date of publication2016-10-30 16:58:03
MaintainerHuixia Judy Wang <judywang@gwu.edu>
LicenseGPL-3
Version1.0

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.