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>.
| Version: | 0.3.0 | 
| 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 | 
| Published: | 2023-09-19 | 
| DOI: | 10.32614/CRAN.package.LDATS | 
| Author: | Juniper L. Simonis | 
| Maintainer: | Juniper L. Simonis <juniper.simonis at weecology.org> | 
| BugReports: | https://github.com/weecology/LDATS/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://weecology.github.io/LDATS/, https://github.com/weecology/LDATS | 
| NeedsCompilation: | no | 
| SystemRequirements: | gsl | 
| Materials: | README, NEWS | 
| CRAN checks: | LDATS results | 
| Reference manual: | LDATS.html , LDATS.pdf | 
| Vignettes: | LDATS Codebase (source, R code) Comparison to Christensen et al. 2018 (source, R code) Rodents Example (source, R code) | 
| Package source: | LDATS_0.3.0.tar.gz | 
| Windows binaries: | r-devel: LDATS_0.3.0.zip, r-release: LDATS_0.3.0.zip, r-oldrel: LDATS_0.3.0.zip | 
| macOS binaries: | r-release (arm64): LDATS_0.3.0.tgz, r-oldrel (arm64): LDATS_0.3.0.tgz, r-release (x86_64): LDATS_0.3.0.tgz, r-oldrel (x86_64): LDATS_0.3.0.tgz | 
| Old sources: | LDATS archive | 
| Reverse imports: | argminCS | 
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