CRAN/E | tidylda

tidylda

Latent Dirichlet Allocation Using 'tidyverse' Conventions

Installation

About

Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) , using style conventions from the 'tidyverse', Wickham et al. (2019)doi:10.21105/joss.01686, and 'tidymodels', Kuhn et al.. 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implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.

github.com/TommyJones/tidylda/
Bug report File report

Key Metrics

Version 0.0.4
R ≥ 3.5.0
Published 2023-12-01 153 days ago
Needs compilation? yes
License MIT
License File
CRAN checks tidylda results
Language en-US

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Maintainer

Maintainer

Tommy Jones

jones.thos.w@gmail.com

Authors

Tommy Jones

aut / cre

Brendan Knapp

ctb

Barum Park

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Probabilistic Coherence
Transfer Learning with LDA (tLDA)
Introduction to tidylda

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tidylda archive

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
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spelling
covr
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LinkingTo

Rcpp
RcppArmadillo
RcppProgress
RcppThread