Construct Consistent Time Series from Textual Data
Overview
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
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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
Repository
- 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
Forks over time
Releases over time
Issues over time
Commits over time
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.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
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.
Code & Tests
Datasets
People & History
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.
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.