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maptpx

MAP Estimation of Topic Models

Installation

About

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.

Citation maptpx citation info
taddylab.com

Key Metrics

Version 1.9-7
R ≥ 2.10
Published 2020-05-28 1432 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Matt Taddy

mataddy@gmail.com

Authors

Matt Taddy

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

maptpx archive

Depends

R ≥ 2.10
slam

Suggests

MASS

Reverse Imports

cellTree