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: | 0.2.4 |
Depends: | R (≥ 3.2.3) |
Imports: | coda, digest, dplyr, extraDistr, graphics, grDevices, here, lubridate, magrittr, memoise, methods, mvtnorm, nnet, progress, reshape, stats, topicmodels, viridis |
Suggests: | knitr, pkgdown, rmarkdown, testthat, vdiffr, clue, RCurl, tidyr |
Published: | 2019-08-01 |
Author: | Juniper L. Simonis
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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 |
Materials: | README NEWS |
CRAN checks: | LDATS results |
Reference manual: | LDATS.pdf |
Vignettes: |
LDATScodebase paper-comparison rodentsexample |
Package source: | LDATS_0.2.4.tar.gz |
Windows binaries: | r-devel: LDATS_0.2.4.zip, r-devel-gcc8: LDATS_0.2.4.zip, r-release: LDATS_0.2.4.zip, r-oldrel: LDATS_0.2.4.zip |
OS X binaries: | r-release: LDATS_0.2.4.tgz, r-oldrel: LDATS_0.2.4.tgz |
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