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statespacer: State Space Modelling in 'R'

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 + fileLICENSE
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

Documentation:

Reference manual:statespacer.html ,statespacer.pdf
Vignettes:Fitting ARIMA models with statespacer (source,R code)
Dictionary of statespacer (source,R code)
Introduction to statespacer (source,R code)
statespacer applied to UK Road Deaths (source,R code)
Specify it yourself! (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=statespacerto link to this page.


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