https://praveenmaths89.r-universe.devRecent package updates in praveenmaths89R-universehttps://github.com/praveenmaths89.pnghttps://praveenmaths89.r-universe.devThu, 22 Jan 2026 18:18:38 GMTpraveenmaths89@gmail.com (Praveen D Chougale)Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.https://github.com/r-universe/praveenmaths89/actions/runs/26326033332Thu, 22 Jan 2026 18:18:38 GMTvald.extractor0.1.1successhttps://praveenmaths89.r-universe.devhttps://github.com/praveenmaths89/vald.extractorend-to-end-pipeline.Rmdend-to-end-pipeline.htmlEnd-to-End Pipeline: From API to Multi-Sport Analysis2026-01-12 16:27:362026-01-12 16:27:36praveenmaths89@gmail.com (Praveen D Chougale)A comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from 'Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA', Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for 'CTM'.https://github.com/r-universe/praveenmaths89/actions/runs/26086705500Mon, 19 Jan 2026 14:07:42 GMTSportMiner0.1.0successhttps://praveenmaths89.r-universe.devhttps://github.com/praveenmaths89/sportminergetting-started.Rmdgetting-started.htmlGetting Started with SportMiner2026-01-12 11:23:042026-01-12 11:23:04SportMiner-JSS.RmdSportMiner-JSS.htmlSportMiner: Text Mining and Topic Modeling for Sport Science Literature2026-01-12 11:23:042026-01-12 11:23:04