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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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.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 |
Reference manual: | tidylda.pdf |
Vignettes: |
Probabilistic Coherence Transfer Learning with LDA (tLDA) Introduction to tidylda |
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 |
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.