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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.pdf |
Vignettes: |
LDATS Codebase Comparison to Christensen et al. 2018 Rodents Example |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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