https://jdelahoz-m.r-universe.devRecent package updates in jdelahoz-mR-universehttps://github.com/jdelahoz-m.pnghttps://jdelahoz-m.r-universe.devMon, 08 Jun 2026 21:00:02 GMTjdelahoz@unimagdalena.edu.co (Javier De La Hoz Maestre)A Shiny application designed to support the learning of basic concepts in statistics and probability. The tool provides an interactive interface that allows students to explore and visualize different statistical concepts intuitively, including descriptive statistics for continuous and qualitative variables, and probability distributions.https://github.com/r-universe/jdelahoz-m/actions/runs/27171526220Mon, 08 Jun 2026 21:00:02 GMTStatisticTeach10.1.2successhttps://jdelahoz-m.r-universe.devhttps://github.com/cran/StatisticTeach1jdelahoz@unimagdalena.edu.co (Javier De La Hoz-M)Provides a 'Shiny' graphical interface for the complete workflow of Latent Dirichlet Allocation (LDA) topic modelling on bibliometric data from Scopus and Web of Science. Steps include data import and deduplication, text preprocessing (stopword removal, stemming, n-grams, sparse-term filtering), statistical inference to select the optimal number of topics via coherence, final model training, and topic trend analysis over time using linear regression. All results can be exported as Excel files, RDS objects, and publication-quality plots.https://github.com/r-universe/javierdelahoz/actions/runs/27134845471Sat, 06 Jun 2026 21:09:57 GMTLDAShiny1.0.0successhttps://javierdelahoz.r-universe.devhttps://github.com/javierdelahoz/ldashinyLDAShiny-introduction.RmdLDAShiny-introduction.htmlIntroduction to LDAShiny: Bibliometric Topic Modeling2026-06-06 21:09:572026-06-06 21:09:57