Package: Rhobots
Title: 'BERTopic'-Style Topic Modeling Without 'Python'
Version: 0.1.10
Authors@R: 
    person("J.P.G.", "van der Pol", , "j.p.g.vanderpol@uu.nl", role = c("aut", "cre"))
Description: Implements the 'BERTopic' topic modeling pipeline directly in R:
    transformer-based sentence embedding, Uniform Manifold Approximation and
    Projection dimensionality reduction, Hierarchical Density-Based Spatial
    Clustering of Applications with Noise clustering, and class-based
    term frequency-inverse document frequency topic extraction - all without any
    dependency on 'Python', 'conda', or 'reticulate'. Every stage runs in R through
    'torch', 'safetensors', 'tok', 'uwot', and 'dbscan'. The package mirrors the
    accessor API of the original 'Python' package, adds integrated quality metrics
    and hyperparameter search tools, and introduces part-of-speech filtered and
    C-value-ranked representation models.
License: MIT + file LICENSE
URL: https://github.com/JPvdP/RhoBots
BugReports: https://github.com/JPvdP/RhoBots/issues
SystemRequirements: Microsoft Visual C++ Redistributable 2022 (Windows
        only; required by torch)
Depends: R (>= 4.1.0)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: torch, safetensors, hfhub, tok, jsonlite, uwot, dbscan,
        Matrix, stats, wordpiece, Rcpp
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), plotly, httr2, gutenbergr, udpipe
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-08-02 20:01:56 UTC; janpieter
Author: J.P.G. van der Pol [aut, cre]
Maintainer: J.P.G. van der Pol <j.p.g.vanderpol@uu.nl>
Repository: CRAN
Date/Publication: 2026-08-08 14:30:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-09-01 13:03:58 UTC; windows
Archs: x64
