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The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et al (2014) <doi:10.1111/ajps.12103> and Roberts et al (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et al (2019) <doi:10.18637/jss.v091.i02>.

copied from cf-staging / r-stm

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v1.3.7
  • osx-64 v1.3.7
  • win-64 v1.3.7

conda install

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

Description


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