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.
Package details |
|
---|---|
Author | Matt Taddy <mataddy@gmail.com> |
Maintainer | Matt Taddy <mataddy@gmail.com> |
License | GPL-3 |
Version | 1.9-7 |
URL | http://taddylab.com |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.