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
Roxygen: list(markdown = TRUE)
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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libclang-dev
Repository: https://jpvdp.r-universe.dev
Date/Publication: 2026-10-08 09:32:32 UTC
RemoteUrl: https://github.com/jpvdp/rhobots
RemoteRef: HEAD
RemoteSha: 2bbd92250a1a56f26bca2fbfa542fd7bc142c5d2
NeedsCompilation: yes
Packaged: 2026-10-08 10:45:18 UTC; root
Author: J.P.G. van der Pol [aut, cre]
Maintainer: J.P.G. van der Pol <j.p.g.vanderpol@uu.nl>