A 'Shiny' Application for Inspecting Structural Topic Models R package stminsights version 0.4.4 This app enables interactive validation, interpretation and visualization of structural topic models from the 'stm' package by Roberts and others (2014) . It also includes helper functions for model diagnostics and extracting data from effect estimates. Software Depends: R (>= 4.1.0) Imports: stm (>= 1.3.7), tidygraph (>= 1.3.1), ggraph (>= 2.2.1), igraph (>= 2.0.3), ggrepel (>= 0.9.5), shiny (>= 1.8.1), shinyBS (>= 0.6.0), shinydashboard (>= 0.7.2), shinyjs (>= 2.1.0), ggplot2 (>= 3.5.1), purrr (>= 1.0.2), stringr (>= 1.5.1), dplyr (>= 1.1.4), tibble (>= 3.2.1), DT (>= 0.33.0), readr (>= 2.1.5), stats, scales Suggests: quanteda (>= 4.0.2), huge (>= 1.3.5), knitr, rmarkdown Carsten Schwemmer <c.schwem2er@gmail.com> Comprehensive R Archive Network (CRAN) Carsten Schwemmer [aut, cre] (ORCID: <https://orcid.org/0000-0001-9084-946X>), Jonne Guyt [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=stminsights/LICENSE) 2026-09-02 application/tgz https://CRAN.R-project.org/package=stminsights doi:10.32614/CRAN.package.stminsights