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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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.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
Author: Tommy Jones ORCID iD [aut, cre], Brendan Knapp ORCID iD [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:

Reference manual: tidylda.pdf
Vignettes: Probabilistic Coherence
Transfer Learning with LDA (tLDA)
Introduction to tidylda

Downloads:

Package source: tidylda_0.0.5.tar.gz
Windows binaries: r-devel: tidylda_0.0.5.zip, r-release: tidylda_0.0.5.zip, r-oldrel: tidylda_0.0.5.zip
macOS binaries: r-release (arm64): tidylda_0.0.5.tgz, r-oldrel (arm64): tidylda_0.0.5.tgz, r-release (x86_64): tidylda_0.0.5.tgz, r-oldrel (x86_64): tidylda_0.0.5.tgz
Old sources: tidylda archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tidylda to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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