The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
To cite the 'MARSS' package in publications use:
Holmes EE, Ward EJ, Scheuerell MD, Wills K (2024). MARSS: Multivariate Autoregressive State-Space Modeling. R package version 3.11.9, https://CRAN.R-project.org/package=MARSS.
Holmes EE, Scheuerell MD, Ward EJ (2024). Analysis of multivariate time-series using the MARSS package. Version 3.11.9. doi:10.5281/zenodo.5781847, R package version 3.11.9, https://CRAN.R-project.org/package=MARSS/vignettes/UserGuide.pdf.
Holmes EE, Ward EJ, Wills K (2012). “MARSS: Multivariate autoregressive state-space models for analyzing time-series data.” The R Journal, 4(1), 30.
Corresponding BibTeX entries:
@Manual{,
title = {MARSS: Multivariate Autoregressive State-Space Modeling},
author = {Elizabeth Eli Holmes and Eric J. Ward and Mark D.
Scheuerell and Kellie Wills},
year = {2024},
note = {R package version 3.11.9},
url = {https://CRAN.R-project.org/package=MARSS},
}
@Manual{,
title = {Analysis of multivariate time-series using the MARSS
package. Version 3.11.9},
author = {Elizabeth Eli Holmes and Mark D. Scheuerell and Eric J.
Ward},
year = {2024},
note = {R package version 3.11.9},
url =
{https://CRAN.R-project.org/package=MARSS/vignettes/UserGuide.pdf},
doi = {10.5281/zenodo.5781847},
}
@Article{,
title = {MARSS: Multivariate autoregressive state-space models for
analyzing time-series data},
author = {Elizabeth Eli Holmes and Eric J. Ward and Kellie Wills},
year = {2012},
journal = {The R Journal},
volume = {4},
number = {1},
pages = {30},
}
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.
Health stats visible at Monitor.