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tidylda
View on CRAN: Click
here
Download and install tidylda package within the R console
Install from CRAN:
install.packages("tidylda")
Install from Github:
library("remotes")
install_github("cran/tidylda")
Install by package version:
library("remotes")
install_version("tidylda", "0.0.5")
Attach the package and use:
library("tidylda")
Maintained by
Tommy Jones
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-19
Latest Update: 2023-07-14
Description:
Implements an algorithm for Latent Dirichlet
Allocation (LDA), Blei et at. (2003) ,
using style conventions from the 'tidyverse',
Wickham et al. (2019),
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transfer learning based on ongoing and, as yet, unpublished research.
How to cite:
Tommy Jones (2021). tidylda: Latent Dirichlet Allocation Using 'tidyverse' Conventions. R package version 0.0.5, https://cran.r-project.org/web/packages/tidylda. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that tidylda depends,
imports, suggests or enhances
Complete documentation for tidylda
Functions, R codes and Examples using
the tidylda R package
Some associated functions: augment.tidylda . calc_lambda . calc_lda_r2 . calc_prob_coherence . convert_dtm . create_lexicon . fit_lda_c . format_alpha . format_eta . generate_sample . glance.tidylda . initialize_topic_counts . new_tidylda . nih . posterior . predict.tidylda . print.tidylda . recover_counts_from_probs . reexports . refit.tidylda . summarize_topics . tidy.tidylda . tidy_dgcmatrix . tidy_triplet . tidylda-package . tidylda . tidylda_bridge .
Some associated R codes: RcppExports.R . posterior.tidylda.R . predict.tidylda.R . print.tidylda.R . refit.tidylda.R . tidy-methods.R . tidylda-fit-methods.R . tidylda-package.R . utils.R . Full tidylda package functions and examples
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