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transfer learning based on ongoing and, as yet, unpublished research.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: |
0.0.2 |
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: |
knitr, parallel, quanteda, testthat, tm, spelling |
Published: |
2021-12-08 |
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 |
SystemRequirements: |
C++11 |
Language: |
en-US |
Materials: |
README NEWS |
CRAN checks: |
tidylda results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tidylda
to link to this page.