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rollinglda: Construct Consistent Time Series from Textual Data

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.

Version:0.1.4
Depends:R (≥ 4.0.0),ldaPrototype (≥ 0.3.0)
Imports:checkmate (≥ 1.8.5),data.table (≥ 1.11.2),lubridate, stats,tosca (≥ 0.2-0), utils
Suggests:covr,testthat
Published:2025-08-20
DOI:10.32614/CRAN.package.rollinglda
Author:Jonas RiegerORCID iD [aut, cre]
Maintainer:Jonas Rieger <jonas.rieger at tu-dortmund.de>
BugReports:https://github.com/JonasRieger/rollinglda/issues
License:GPL (≥ 3)
URL:https://github.com/JonasRieger/rollinglda
NeedsCompilation:yes
Citation:rollinglda citation info
Materials:README
CRAN checks:rollinglda results

Documentation:

Reference manual:rollinglda.html ,rollinglda.pdf

Downloads:

Package source: rollinglda_0.1.4.tar.gz
Windows binaries: r-devel:rollinglda_0.1.4.zip, r-release:rollinglda_0.1.4.zip, r-oldrel:rollinglda_0.1.4.zip
macOS binaries: r-release (arm64):rollinglda_0.1.4.tgz, r-oldrel (arm64):rollinglda_0.1.4.tgz, r-release (x86_64):rollinglda_0.1.4.tgz, r-oldrel (x86_64):rollinglda_0.1.4.tgz
Old sources: rollinglda archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=rollingldato link to this page.


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