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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/>.
Version: | 3.11.9 |
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, marssTMB |
Published: | 2024-02-19 |
DOI: | 10.32614/CRAN.package.MARSS |
Author: | Elizabeth Eli Holmes
|
Maintainer: | Elizabeth Eli Holmes <eli.holmes at noaa.gov> |
BugReports: | https://github.com/atsa-es/MARSS/issues |
License: | GPL-2 |
URL: | https://atsa-es.github.io/MARSS/ |
NeedsCompilation: | no |
Additional_repositories: | https://atsa-es.r-universe.dev |
Citation: | MARSS citation info |
Materials: | README NEWS |
In views: | TimeSeries |
CRAN checks: | MARSS results |
Reference manual: | MARSS.pdf |
Vignettes: |
Learning MARSS Quick Start Guide EM_Derivation Residuals User Guide |
Package source: | MARSS_3.11.9.tar.gz |
Windows binaries: | r-devel: MARSS_3.11.9.zip, r-release: MARSS_3.11.9.zip, r-oldrel: MARSS_3.11.9.zip |
macOS binaries: | r-release (arm64): MARSS_3.11.9.tgz, r-oldrel (arm64): MARSS_3.11.9.tgz, r-release (x86_64): MARSS_3.11.9.tgz, r-oldrel (x86_64): MARSS_3.11.9.tgz |
Old sources: | MARSS archive |
Reverse suggests: | dsem, freqdom, freqdom.fda |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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