R Observatory: Metrics for LDAShiny version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LDAShiny

1.0.0Package record

Interactive Topic Modeling and Bibliometric Analysis via Shiny

0packages depend

1.5Kdownloads / year

49.9%test coverage

13/13flavors OK

Overview

About

Maintained by Javier De La Hoz-MCRAN page ↗GitHub ↗

Provides a 'Shiny' graphical interface for the complete workflow of Latent Dirichlet Allocation (LDA) topic modelling on bibliometric data from Scopus and Web of Science. Steps include data import and deduplication, text preprocessing (stopword removal, stemming, n-grams, sparse-term filtering), statistical inference to select the optimal number of topics via coherence, final model training, and topic trend analysis over time using linear regression. All results can be exported as Excel files, RDS objects, and publication-quality plots.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("LDAShiny", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("JavierDeLaHoz/LDAShiny")

Development version from JavierDeLaHoz/LDAShiny. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-ldashiny

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-LDAShiny

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-LDAShiny

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 3.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK5 OK2026-06-08

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 15 (3 internal)
Examples that run: 100%1 run in a plain check (under a condition)
Exported functions with examples: 8%
Documented parameters: 100%
Return-value docs: 83%
Help pages citing references: 0%

Vignettes (1)

Introduction to LDAShiny: Bibliometric Topic Modeling HTML

How these are measured

Downloads

1.5K

CRAN downloads in the past year

Rank #12,031 · ~4/day · ~127/mo

Releases R versions

Daily download trend is not available in this view yet.

33330 days

90790 days

1.5K1 year

Compare downloads with other packages →

Also on69 r2u4 autocran

How downloads are counted

Repository

javierdelahoz/ldashiny ↗Account: JavierDeLaHoz

4Stars

1Forks

0Open issues

0Open PRs

0Releases

1Commits

1Commit identities

1 commits · Last activity 2026-06-06 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 1,919

Stars over time

2024-01-20 · 32026-07-07 · 4

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/javierdelahoz/ldashiny on 2026-10-18.

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

28 external dependencies (excludes base and recommended)

Installing LDAShiny adds 108 packages (55 with compiled code, 103 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.1.0

Imports (29)

colourpicker config dplyr DT ggplot2 golem (>= 0.4.0)Matrixopenxlsx quanteda RColorBrewer readxl shiny shinybusy shinydashboard shinyjs shinyWidgets slam SnowballC stopwords textmineR tibble tidyr tm wordcloud broomparallelstatsutilsgrDevices

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown testthat withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Javier De La Hoz-M

Author, Maintainer · added in 1.0.0

Maintainer since 0.9.2 (2021)

Listed in earlier versions (3)

Show 3 peopleHide 3 people

Javier De La Hoz Maestre

no longer listed · 0.9.2 to 0.9.3

María José Fernández Gómez

no longer listed · 0.9.2 to 0.9.3

Susana Mendez

no longer listed · 0.9.2 to 0.9.3

Releases (3)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-06-08
1.0.0Latest
record
2026-06-08 · current release · diff ↗ ·
removed 2 exports
removeSparseTerms, runLDAShiny

added 14 exports
mod_about_server, mod_about_ui, mod_import_bibliometrics_server, mod_import_bibliometrics_ui, mod_inference_server, mod_inference_ui, mod_lda_train, mod_lda_train_server, mod_lda_train_ui, mod_preprocess_server, mod_preprocess_ui, mod_trend_server, mod_trend_ui, run_LDAShiny
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-04-27
requires archived package 'ldatuning'
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2021-03-29
0.9.3
record
2021-03-29 · diff ↗
archivedRemoved from CRAN
2021-03-21
check problems were not corrected in time
0.9.2
record
2021-02-05
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-05
Total releases: 3 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Download size: 113 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LDAShiny")

Format

De La Hoz-M, J. (2026). LDAShiny: Interactive Topic Modeling and Bibliometric Analysis via Shiny (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.LDAShiny

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for LDAShiny version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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