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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