Package: maptpx
Title: MAP Estimation of Topic Models
Version: 1.9-7
Author: Matt Taddy <mataddy@gmail.com>
Depends: R (>= 2.10), slam
Suggests: MASS
Description: 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.
Maintainer: Matt Taddy <mataddy@gmail.com>
License: GPL-3
URL: http://taddylab.com
NeedsCompilation: yes
Packaged: 2020-05-27 23:43:34 UTC; mataddy
Repository: CRAN
Date/Publication: 2020-05-28 10:50:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 13:49:42 UTC; unix
Archs: maptpx.so.dSYM
