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A tool that makes estimating models in state space form a breeze. See "Time Series Analysis by State Space Methods" by Durbin and Koopman (2012, ISBN: 978-0-19-964117-8) for details about the algorithms implemented.
Version: | 0.5.0 |
Depends: | R (≥ 3.6) |
Imports: | Rdpack, stats, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | datasets, graphics, knitr, numDeriv (≥ 2016.8-1.1), optimx (≥ 2020-4.2), rmarkdown |
Published: | 2023-01-27 |
DOI: | 10.32614/CRAN.package.statespacer |
Author: | Dylan Beijers [aut, cre] |
Maintainer: | Dylan Beijers <dylanbeijers at gmail.com> |
BugReports: | https://github.com/DylanB95/statespacer/issues/ |
License: | MIT + file LICENSE |
URL: | https://DylanB95.github.io/statespacer/, https://github.com/DylanB95/statespacer/ |
NeedsCompilation: | yes |
Citation: | statespacer citation info |
Materials: | NEWS |
In views: | TimeSeries |
CRAN checks: | statespacer results |
Reference manual: | statespacer.pdf |
Vignettes: |
Fitting ARIMA models with statespacer Dictionary of statespacer Introduction to statespacer statespacer applied to UK Road Deaths Specify it yourself! |
Package source: | statespacer_0.5.0.tar.gz |
Windows binaries: | r-devel: statespacer_0.5.0.zip, r-release: statespacer_0.5.0.zip, r-oldrel: statespacer_0.5.0.zip |
macOS binaries: | r-release (arm64): statespacer_0.5.0.tgz, r-oldrel (arm64): statespacer_0.5.0.tgz, r-release (x86_64): statespacer_0.5.0.tgz, r-oldrel (x86_64): statespacer_0.5.0.tgz |
Old sources: | statespacer archive |
Please use the canonical form https://CRAN.R-project.org/package=statespacer to link to this page.
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.