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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-post-staging / r-stm
Type Size Name Uploaded Downloads Labels
conda 2.7 MB | osx-64/r-stm-1.3.8-r43ha730edb_0.conda  17 days and 9 hours ago 25 main
conda 2.6 MB | osx-64/r-stm-1.3.8-r44ha730edb_0.conda  17 days and 9 hours ago 24 main
conda 2.7 MB | win-64/r-stm-1.3.8-r43he95c60c_0.conda  17 days and 9 hours ago 32 main
conda 2.6 MB | win-64/r-stm-1.3.8-r44he95c60c_0.conda  17 days and 9 hours ago 29 main
conda 2.6 MB | linux-64/r-stm-1.3.8-r44h3697838_0.conda  17 days and 9 hours ago 63 main
conda 2.7 MB | linux-64/r-stm-1.3.8-r43h3697838_0.conda  17 days and 9 hours ago 70 main

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