Package: tbnb Type: Package Title: Threshold-Based and Iterative Threshold-Based Naive Bayes Classifier Version: 0.1.0 Authors@R: person(given = "Maurizio", family = "Romano", email = "romano.maurizio@unica.it", role = c("aut", "cre")) Description: Implements the Threshold-Based Naive Bayes (Tb-NB) classifier and its iterative refinement (iTb-NB) for binary sentiment / text classification problems. The classifier computes a continuous log-likelihood ratio score per document and uses a data-driven decision threshold estimated via K-fold cross-validation on a user-selected criterion (accuracy, F1 score, Matthews correlation coefficient, balanced error, etc.). An optional iterative refinement procedure locally re-estimates the threshold in regions of class overlap using either Gaussian kernel density estimation or a Central Limit Theorem bootstrap approximation. The package exposes an idiomatic R formula + data.frame interface together with a 'quanteda'-based text preprocessing pipeline, supports user-supplied document-feature matrices, and includes an optional word-embedding extension that augments the Bag-of-Words with K nearest semantic neighbours of each token. The package additionally implements the p-value extension proposed by Romano (2025) for both document- and feature-level interpretability via tbnb_pvalues(). Methods are described in Romano, Contu, Mola, Conversano (2024) , Romano, Zammarchi, Conversano (2024) , and Romano (2025) . License: GPL (>= 3) Encoding: UTF-8 Language: en-GB LazyData: true Depends: R (>= 4.0) Imports: Matrix, methods, stats, grDevices, graphics, quanteda (>= 3.0.0) Suggests: text2vec, stopwords, SnowballC, cld2, cld3, dbscan, viridisLite, testthat (>= 3.0.0), ggplot2 Config/testthat/edition: 3 RoxygenNote: 7.3.3 NeedsCompilation: no Packaged: 2026-07-21 12:24:06 UTC; root Author: Maurizio Romano [aut, cre] Maintainer: Maurizio Romano Repository: https://cran.r-universe.dev Date/Publication: 2026-07-21 09:30:07 UTC RemoteUrl: https://github.com/cran/tbnb RemoteRef: HEAD RemoteSha: faa86269cf5f9a5b901b1d2fe9a0fab1d641af93