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rollinglda

0.1.4Package record

Construct Consistent Time Series from Textual Data

0packages depend
3.1Kdownloads / year
95.9%test coverage
13/13flavors OK

Overview

About

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) doi:10.18653/v1/2021.findings-emnlp.201. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.4
READMEYes · 889 wordsVignettesNoNEWSNoCitation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
6includes a package overview page
Examples that run
67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
75%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
17%

Downloads

3.1K
CRAN downloads in the past year
Rank #16,481 · ~9/day · ~259/mo
Daily download trend is not available in this view yet.
30930 days
75790 days
3.1K1 year
Compare downloads with other packages →
Also on346 r2u5 autocran

Repository

13Stars
3Forks
4Open issues
0Open PRs
2Releases
99Commits
2Commit identities
text-miningmodel-selectionldalatent-dirichlet-allocationtopic-modelstextdatatopicmodelingtopicmodelling
License file reads as GPL-3.0 · 99 commits · Last activity 2026-08-31 · The default branch showed an older version (0.1.3) than CRAN on 2026-10-18
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-11 · 132026-07-07 · 13
PracticesBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jonasrieger/rollinglda on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowAppVeyor

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)
Code of conduct
Coverage (1)
Coverage reporting
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing rollinglda adds 70 packages (40 with compiled code, 74 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (2)
R >= 4.0.0ldaPrototype
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2021)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.4Latest
    record
    2025-08-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.3
    record
    2023-11-28 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    record
    2022-10-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.1
    record
    2021-10-28 · diff ↗
  • 0.1.0
    record
    2021-09-08
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-08
Total releases
5 / 5 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
220 KB / 2 files
Download size
248 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rollinglda")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rollinglda version 0.1.4 [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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