Type: Package
Package: tidylda
Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Version: 0.0.5
Authors@R: 
    c(
    person(given = "Tommy",
           family = "Jones",
           role = c("aut", "cre"),
           email = "jones.thos.w@gmail.com",
           comment = c(ORCID = "0000-0001-6457-2452")
           ),
    person("Brendan", "Knapp", 
           email = "brendan.g.knapp@gmail.com", 
           role = "ctb",
           comment = c(ORCID = "0000-0003-3284-4972")
           ),
    person(given = "Barum",
           family = "Park",
           role = c("ctb"),
           email = "baruuum@gmail.com"
           )
    )
Description: 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    transfer learning based on ongoing and, as yet, unpublished research.
License: MIT + file LICENSE
URL: https://github.com/TommyJones/tidylda/
BugReports: https://github.com/TommyJones/tidylda/issues
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
Suggests: ggplot2, knitr, parallel, quanteda, testthat, tm, slam,
        spelling, covr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppThread
Encoding: UTF-8
RoxygenNote: 7.2.3
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 21:24:04 UTC; tommy
Author: Tommy Jones [aut, cre] (<https://orcid.org/0000-0001-6457-2452>),
  Brendan Knapp [ctb] (<https://orcid.org/0000-0003-3284-4972>),
  Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:20:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 03:24:01 UTC; windows
Archs: x64
