DESCRIPTION.dcf

Package: MARSS-UG
Type: Package
Title: MARSS User Guide
Version: 1.0.0
Date: 2023-05-10
Depends: R (>= 3.5.0)
Imports: 
    generics (>= 0.1.2), graphics, grDevices, KFAS (>= 1.0.1), mvtnorm, nlme, stats, utils
Suggests: 
    forecast,
    ggplot2,
    Hmisc,
    knitr,
    stringr,
    testthat
Authors@R: 
    c(person("Elizabeth Eli", "Holmes", , "eli.holmes@noaa.gov", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-9128-8393")),
      person("Eric J.", "Ward", , "eric.ward@noaa.gov", role = c("aut"),
           comment = c(ORCID = "0000-0002-4359-0296")),
      person("Mark D.", "Scheuerell", , "scheuerl@uw.edu", role = c("aut"),
           comment = c(ORCID = "0000-0002-8284-1254")),
      person("Kellie", "Wills", , "wills.kellie@gmail.com", role = c("aut"))
      )
Maintainer: Elizabeth Holmes - NOAA Federal <eli.holmes@noaa.gov>
Description: 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) and BFGS (using optim). Fast fitting via TMB
    is available by loading 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/>.
License: GPL-2
LazyData: yes
BuildVignettes: yes
ByteCompile: TRUE
URL: https://atsa-es.github.io/MARSS/
BugReports: https://github.com/atsa-es/MARSS/issues
RoxygenNote: 7.2.3
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr, utils