Movatterモバイル変換


[0]ホーム

URL:


kalmanfilter: Kalman Filter

'Rcpp' implementation of the multivariate Kalman filter for state space models that can handle missing values and exogenous data in the observation and state equations. There is also a function to handle time varying parameters. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.

Version:2.2.0
Depends:R (≥ 3.5.0)
Imports:Rcpp (≥ 1.0.9)
LinkingTo:Rcpp,RcppArmadillo
Suggests:data.table (≥ 1.14.2),maxLik (≥ 1.5-2),ggplot2 (≥3.3.6),gridExtra (≥ 2.3),knitr,rmarkdown,testthat
Published:2025-10-18
DOI:10.32614/CRAN.package.kalmanfilter
Author:Alex Hubbard [aut, cre]
Maintainer:Alex Hubbard <hubbard.alex at gmail.com>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:yes
Materials:NEWS
In views:TimeSeries
CRAN checks:kalmanfilter results

Documentation:

Reference manual:kalmanfilter.html ,kalmanfilter.pdf
Vignettes:Kalman Filter for State Space Models (source,R code)

Downloads:

Package source: kalmanfilter_2.2.0.tar.gz
Windows binaries: r-devel:kalmanfilter_2.2.0.zip, r-release:kalmanfilter_2.2.0.zip, r-oldrel:kalmanfilter_2.2.0.zip
macOS binaries: r-release (arm64):kalmanfilter_2.2.0.tgz, r-oldrel (arm64):kalmanfilter_2.2.0.tgz, r-release (x86_64):kalmanfilter_2.2.0.tgz, r-oldrel (x86_64):kalmanfilter_2.2.0.tgz
Old sources: kalmanfilter archive

Reverse dependencies:

Reverse imports:autostsm

Linking:

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


[8]ページ先頭

©2009-2025 Movatter.jp