R package 'hdpreg'
Description
This package is developed based on R package hdpmn authored by Peter Mueller. The package implements both a regular Bayesian regression model and a regression model with a random intercept that follows a Dirichlet Process to related random probability measures (RPM). By the DP random intercept model, each RPM is represented as a mixture of a common measure common to all RPMs and an idiosyncratic part specific to the RPM.
For any questions, please contact Gary Rosner.
Details
- Title: Hierarchical Dirichlet Process Regression Model
- Authors: Gary Rosner, Chenguang Wang, Peter Mueller
- Version: 4.5
Download
- Mac/Unix: hdpreg_4.5.0.tar.gz
- Windows: hdpreg_4.5.0.zip
- User manual: pdf
- Example: Example.R
Install
The installation requires R 3.0.1 or later version of R. The package can be installed by command R CMD INSTALL hdpreg_4.5.0.tar.gz on Mac/Unix, or R CMD INSTALL hdpreg_4.5.0.zip on Windows. Alternatively, the package can be installed using R GUI by Menu >> Packages >> Install packages from local zip files....
