Package: maptpx Title: MAP Estimation of Topic Models Version: 1.9-7 Author: Matt Taddy 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 License: GPL-3 URL: http://taddylab.com NeedsCompilation: yes Packaged: 2026-10-28 10:04:04 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2020-05-28 09:50:06 UTC RemoteUrl: https://github.com/cran/maptpx RemoteRef: HEAD RemoteSha: a8d05d00d995d7e950046219a783ea6ab5af971d