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CRAN: Package tidylda

tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions

Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.

Version: 0.0.5 Depends: R (≥ 3.5.0) Imports: dplyr, generics, gtools, Matrix, methods, mvrsquared (≥ 0.1.0), Rcpp (≥ 1.0.2), rlang, stats, stringr, tibble, tidyr, tidytext LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppThread Suggests: ggplot2, knitr, parallel, quanteda, testthat, tm, slam, spelling, covr, rmarkdown Published: 2024-04-22 DOI: 10.32614/CRAN.package.tidylda Author: Tommy Jones [aut, cre], Brendan Knapp [ctb], Barum Park [ctb] Maintainer: Tommy Jones <jones.thos.w at gmail.com> BugReports: https://github.com/TommyJones/tidylda/issues License: MIT + file LICENSE URL: https://github.com/TommyJones/tidylda/ NeedsCompilation: yes Language: en-US Materials: README NEWS CRAN checks: tidylda results Documentation: Downloads: Linking:

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