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message: 'To cite package "bayesdfa" in publications use:'
type: software
title: 'bayesdfa: Bayesian Dynamic Factor Analysis (DFA) with ''Stan'''
version: 1.3.3
doi: 10.32614/CRAN.package.bayesdfa
abstract: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor
  analysis is a dimension reduction tool for multivariate time series. 'bayesdfa'
  extends conventional dynamic factor models in several ways. First, extreme events
  may be estimated in the latent trend by modeling process error with a student-t
  distribution. Second, alternative constraints (including proportions are allowed).
  Third, the estimated dynamic factors can be analyzed with hidden Markov models to
  evaluate support for latent regimes.
authors:
- family-names: Ward
  given-names: Eric J.
  email: eric.ward@noaa.gov
- family-names: Anderson
  given-names: Sean C.
- family-names: Damiano
  given-names: Luis A.
- family-names: Malick
  given-names: Michael J.
repository: https://noaa-fisheries-integrated-toolbox.r-universe.dev
repository-code: https://github.com/fate-ewi/bayesdfa
commit: 6c7e03634c5ec6546050d211e68a6bfaad9e1543
url: https://fate-ewi.github.io/bayesdfa/
contact:
- family-names: Ward
  given-names: Eric J.
  email: eric.ward@noaa.gov