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stm: Estimation of the Structural Topic Model
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>.
Getting started
Browse package contents
Package details |
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| Author | Margaret Roberts [aut], Brandon Stewart [aut, cre], Dustin Tingley [aut], Kenneth Benoit [ctb] |
| Maintainer | Brandon Stewart <bms4@princeton.edu> |
| License | MIT + file LICENSE |
| Version | 1.3.7 |
| URL | http://www.structuraltopicmodel.com/ |
| Package repository | View on CRAN |
| Installation |
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