Latent Dirichlet Allocation Coupled with Time Series Analyses R package LDATS version 0.3.0 Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time series methods in a two-stage analysis to quantify dynamics in high-dimensional temporal data. LDA decomposes multivariate data into lower-dimension latent groupings, whose relative proportions are modeled using generalized Bayesian time series models that include abrupt changepoints and smooth dynamics. The methods are described in Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004) <doi:10.1093/pan/mph023>, Venables and Ripley (2002, ISBN-13:978-0387954578), and Christensen et al. (2018) <doi:10.1002/ecy.2373>. Software Depends: R (>= 3.5.0) Imports: coda, digest, extraDistr, graphics, grDevices, lubridate, magrittr, memoise, methods, mvtnorm, nnet, progress, stats, topicmodels, viridis Suggests: knitr, pkgdown, rmarkdown, testthat, vdiffr Juniper L. Simonis <juniper.simonis@weecology.org> Comprehensive R Archive Network (CRAN) Juniper L. Simonis [aut, cre] (ORCID: <https://orcid.org/0000-0001-9798-0460>), Erica M. Christensen [aut] (ORCID: <https://orcid.org/0000-0002-5635-2502>), David J. Harris [aut] (ORCID: <https://orcid.org/0000-0003-3332-9307>), Renata M. Diaz [aut] (ORCID: <https://orcid.org/0000-0003-0803-4734>), Hao Ye [aut] (ORCID: <https://orcid.org/0000-0002-8630-1458>), Ethan P. White [aut] (ORCID: <https://orcid.org/0000-0001-6728-7745>), S.K. Morgan Ernest [aut] (ORCID: <https://orcid.org/0000-0002-6026-8530>), Weecology [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=LDATS/LICENSE) 2023-09-19 application/tgz https://CRAN.R-project.org/package=LDATS doi:10.32614/CRAN.package.LDATS