Adjusted Bayesian Quantile Regression Inference
Released Oct 30, 2016 by Huixia Judy Wang
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
This package can be included as a dependency from a Java or Scala project by including
the following your project's
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>AdjBQR</artifactId> <version>1.0-b16</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
If you're using Renjin from the command line, you load this library by invoking:
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.