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FKF: Fast Kalman Filter

This is a fast and flexible implementation of the Kalman filter and smoother, which can deal with NAs. It is entirely written in C and relies fully on linear algebra subroutines contained in BLAS and LAPACK. Due to the speed of the filter, the fitting of high-dimensional linear state space models to large datasets becomes possible. This package also contains a plot function for the visualization of the state vector and graphical diagnostics of the residuals.

Version:0.2.6
Depends:R (≥ 3.5.0)
Imports:graphics
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0)
Published:2024-09-08
DOI:10.32614/CRAN.package.FKF
Author:David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Daniel McDonald [aut], Paul SmithORCID iD [aut, cre]
Maintainer:Paul Smith <paul at waternumbers.co.uk>
BugReports:https://github.com/waternumbers/FKF/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://waternumbers.github.io/FKF/,https://github.com/waternumbers/FKF
NeedsCompilation:yes
Materials:README,NEWS
In views:TimeSeries
CRAN checks:FKF results

Documentation:

Reference manual:FKF.html ,FKF.pdf
Vignettes:Fast Kalman Filter (source,R code)

Downloads:

Package source: FKF_0.2.6.tar.gz
Windows binaries: r-devel:FKF_0.2.6.zip, r-release:FKF_0.2.6.zip, r-oldrel:FKF_0.2.6.zip
macOS binaries: r-release (arm64):FKF_0.2.6.tgz, r-oldrel (arm64):FKF_0.2.6.tgz, r-release (x86_64):FKF_0.2.6.tgz, r-oldrel (x86_64):FKF_0.2.6.tgz
Old sources: FKF archive

Reverse dependencies:

Reverse imports:RcppSMC,tscopula,wex
Reverse suggests:FKF.SP,highfrequency,sarima

Linking:

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


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