TaddyLab/maptpx: MAP Estimation of Topic Models

Maximum a posteriori (MAP) estimation for topic models (i.e., Latent Dirichlet Allocation) in text analysis, as described in Taddy (2012) 'On estimation and selection for topic models'. Previous versions of this code were included as part of the 'textir' package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling.

Getting started

Package details

AuthorMatt Taddy <mataddy@gmail.com>
MaintainerMatt Taddy <mataddy@gmail.com>
URL http://taddylab.com
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
TaddyLab/maptpx documentation built on May 29, 2020, 7:25 a.m.