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Posterior maximization for topic models (LDA) 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.

copied from cf-staging / r-maptpx

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v1.9_7
  • osx-64 v1.9_7
  • win-64 v1.9_7

conda install

To install this package run one of the following:
conda install conda-forge::r-maptpx
conda install conda-forge/label/cf201901::r-maptpx
conda install conda-forge/label/cf202003::r-maptpx
conda install conda-forge/label/gcc7::r-maptpx

Description


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