nicolaroberts/hdp: Hierarchical Dirichlet Process for categorical count data
Version 0.1.5

Model categorical count data with a hierarchical Dirichlet Process. Includes functions to initialise a HDP with a custom tree structure, perform Gibbs sampling of the posterior distribution, and analyse the output. The underlying mathematical theory is described by Teh et al. (Hierarchical Dirichlet Processes, Journal of the American Statistical Association, 2006, 101:476). This R package was adapted from open source MATLAB and C code written by Yee Whye Teh and available here http://www.stats.ox.ac.uk/~teh/research/npbayes/npbayes-r21.tgz.

Getting started

Package details

Maintainer
Licensefile LICENSE
Version0.1.5
URL https://github.com/nicolaroberts/hdp
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("nicolaroberts/hdp")
nicolaroberts/hdp documentation built on April 25, 2018, 4:27 p.m.