DESCRIPTION

Package: LDATS
Title: Latent Dirichlet Allocation Coupled with Time Series Analyses
Version: 0.2.7
Authors@R: c(
    person(c("Juniper", "L."), "Simonis",
      email = "juniper.simonis@weecology.org", role = c("aut", "cre"),
      comment = c(ORCID = "0000-0001-9798-0460")),
    person(c("Erica", "M."), "Christensen",
      role = c("aut"), comment = c(ORCID = "0000-0002-5635-2502")),
    person(c("David", "J."), "Harris", role = c("aut"),
      comment = c(ORCID = "0000-0003-3332-9307")),
	  person(c("Renata", "M."), "Diaz", role = c("aut"),
      comment = c(ORCID = "0000-0003-0803-4734")),
    person("Hao", "Ye", role = c("aut"),
      comment = c(ORCID = "0000-0002-8630-1458")),
	  person(c("Ethan", "P."), "White", role = c("aut"),
      comment = c(ORCID = "0000-0001-6728-7745")),
    person(c("S.K.", "Morgan"), "Ernest", role = c("aut"),
      comment = c(ORCID = "0000-0002-6026-8530")),
    person(c("Weecology"), role = "cph"))
Description: 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>.
URL: https://weecology.github.io/LDATS, https://github.com/weecology/LDATS
BugReports: https://github.com/weecology/LDATS/issues
Depends: R (>= 3.2.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports:
    coda,
    digest,
    extraDistr,
    graphics,
    grDevices,
    lubridate,
    magrittr,
    memoise,
    methods,
    mvtnorm,
    nnet,
    progress,
    stats,
    topicmodels,
    viridis
Suggests:
    knitr,
    pkgdown,
    rmarkdown,
    testthat, 
    vdiffr
VignetteBuilder:
    knitr
RoxygenNote: 6.1.1