Construct Consistent Time Series from Textual Data R package rollinglda version 0.1.4 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. Software 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 Jonas Rieger <jonas.rieger@tu-dortmund.de> Comprehensive R Archive Network (CRAN) Jonas Rieger [aut, cre] (ORCID: <https://orcid.org/0000-0002-0007-4478>) GPL (>= 3) 2025-08-20 application/tgz https://CRAN.R-project.org/package=rollinglda doi:10.32614/CRAN.package.rollinglda