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: | 0.2.1 |
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, YieldCurve (≥ 4.1) |
Published: | 2020-07-15 |
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_0.2.1.tar.gz |
Windows binaries: | r-devel: statespacer_0.2.1.zip, r-release: statespacer_0.2.1.zip, r-oldrel: statespacer_0.2.1.zip |
macOS binaries: | r-release: statespacer_0.2.1.tgz, r-oldrel: statespacer_0.2.1.tgz |
Old sources: | statespacer archive |
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