FKF: Fast Kalman Filter

This is a fast and flexible implementation of the Kalman filter, 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: 0.1.7
Depends: R (≥ 2.8)
Imports: graphics
Suggests: RUnit, knitr, rmarkdown, covr, pkgdown
Published: 2020-06-14
Author: David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Paul Smith ORCID iD [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

Downloads:

Reference manual: FKF.pdf
Vignettes: Fast Kalman Filter
Package source: FKF_0.1.7.tar.gz
Windows binaries: r-devel: FKF_0.1.7.zip, r-release: FKF_0.1.7.zip, r-oldrel: FKF_0.1.7.zip
macOS binaries: r-release: FKF_0.1.7.tgz, r-oldrel: FKF_0.1.7.tgz
Old sources: FKF archive

Reverse dependencies:

Reverse imports: sarima
Reverse suggests: highfrequency, KFKSDS

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