https://vkobayashi.r-universe.devRecent package updates in vkobayashiR-universehttps://github.com/vkobayashi.pnghttps://vkobayashi.r-universe.devWed, 26 Aug 2026 20:15:00 GMTvladimer.kobayashi@gmail.com (Vladimer Kobayashi)Dependency-light tools and tutorials for teaching reproducible text classification. The package covers HTML text extraction, sentence segmentation, text preprocessing, document-term matrices, TF-IDF, keyword extraction, cosine similarity, stratified cross-validation, classification metrics, and a multinomial Naive Bayes classifier. It modernizes the code accompanying Kobayashi, V. B., Berkers, H. A., Mol, S. T. Kismihok, G., and Den Hartog, D. N. (2017) <doi:10.1177/1094428117719322> The package replaces the original scripts in the paper.https://github.com/r-universe/vkobayashi/actions/runs/36234206854Wed, 26 Aug 2026 20:15:00 GMTtextclassificationtutorial0.1.2successhttps://vkobayashi.r-universe.devhttps://github.com/cran/textclassificationtutorialmodel-evaluation.Rmdmodel-evaluation.htmlEvaluating a Text Classifier2026-08-26 20:15:002026-08-26 20:15:00getting-started.Rmdgetting-started.htmlGetting Started with Text Classification2026-08-26 20:15:002026-08-26 20:15:00vladimer.kobayashi@gmail.com (Vladimer Kobayashi)Tools for calculating commerce metrics, pairing treatment and control results from A/B testing experiments, estimating incremental effects, and quantifying uncertainty with Student's t and nonparametric bootstrap confidence intervals. Includes validation helpers, a high-level analysis workflow, and compatibility functions for the original package interface.https://github.com/r-universe/vkobayashi/actions/runs/37616042293Thu, 30 Jul 2026 08:09:35 GMTIncrementalityTEST0.1.1successhttps://vkobayashi.r-universe.devhttps://github.com/vkobayashi/incrementalitytestincrementality-workflow.Rmdincrementality-workflow.htmlA Complete Incrementality Analysis2026-07-26 18:20:012026-07-26 18:20:01