# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "MARSS" in publications use:'
type: software
license: GPL-2.0-only
title: 'MARSS: Multivariate Autoregressive State-Space Modeling'
version: 3.11.9
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MARSS
abstract: The MARSS package provides maximum-likelihood parameter estimation for constrained
  and unconstrained linear multivariate autoregressive state-space (MARSS) models,
  including partially deterministic models. MARSS models are a class of dynamic linear
  model (DLM) and vector autoregressive model (VAR) model. Fitting available via Expectation-Maximization
  (EM), BFGS (using optim), and 'TMB' (using the 'marssTMB' companion package). Functions
  are provided for parametric and innovations bootstrapping, Kalman filtering and
  smoothing, model selection criteria including bootstrap AICb, confidences intervals
  via the Hessian approximation or bootstrapping, and all conditional residual types.
  See the user guide for examples of dynamic factor analysis, dynamic linear models,
  outlier and shock detection, and multivariate AR-p models. Online workshops (lectures,
  eBook, and computer labs) at <https://atsa-es.github.io/>.
authors:
- family-names: Holmes
  given-names: Elizabeth Eli
  email: eli.holmes@noaa.gov
  orcid: https://orcid.org/0000-0001-9128-8393
- family-names: Ward
  given-names: Eric J.
  email: eric.ward@noaa.gov
  orcid: https://orcid.org/0000-0002-4359-0296
- family-names: Scheuerell
  given-names: Mark D.
  email: scheuerl@uw.edu
  orcid: https://orcid.org/0000-0002-8284-1254
- family-names: Wills
  given-names: Kellie
  email: wills.kellie@gmail.com
preferred-citation:
  type: manual
  title: 'MARSS: Multivariate Autoregressive State-Space Modeling'
  authors:
  - family-names: Holmes
    given-names: Elizabeth Eli
    email: eli.holmes@noaa.gov
    orcid: https://orcid.org/0000-0001-9128-8393
  - family-names: Ward
    given-names: Eric J.
    email: eric.ward@noaa.gov
    orcid: https://orcid.org/0000-0002-4359-0296
  - family-names: Scheuerell
    given-names: Mark D.
    email: scheuerl@uw.edu
    orcid: https://orcid.org/0000-0002-8284-1254
  - family-names: Wills
    given-names: Kellie
    email: wills.kellie@gmail.com
  year: '2024'
  notes: R package version 3.11.9
  url: https://CRAN.R-project.org/package=MARSS
repository: https://atsa-es.r-universe.dev
repository-code: https://github.com/atsa-es/MARSS
commit: a12ffb7d479968c524d71bc95b90e526cdee0440
url: https://atsa-es.github.io/MARSS/
date-released: '2024-02-19'
contact:
- family-names: Holmes
  given-names: Elizabeth Eli
  email: eli.holmes@noaa.gov
  orcid: https://orcid.org/0000-0001-9128-8393
references:
- type: manual
  title: Analysis of multivariate time-series using the MARSS package. Version 3.11.9
  authors:
  - family-names: Holmes
    given-names: Elizabeth Eli
  - family-names: Scheuerell
    given-names: Mark D.
  - family-names: Ward
    given-names: Eric J.
  year: '2024'
  notes: R package version 3.11.9
  url: https://CRAN.R-project.org/package=MARSS/vignettes/UserGuide.pdf
  doi: 10.5281/zenodo.5781847
- type: article
  title: 'MARSS: Multivariate autoregressive state-space models for analyzing time-series
    data'
  authors:
  - family-names: Holmes
    given-names: Elizabeth Eli
  - family-names: Ward
    given-names: Eric J.
  - family-names: Wills
    given-names: Kellie
  year: '2012'
  journal: The R Journal
  volume: '4'
  issue: '1'
  start: '30'