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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: | 0.2.5 |
Depends: | R (≥ 3.5.0) |
Imports: | graphics |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-01-30 |
DOI: | 10.32614/CRAN.package.FKF |
Author: | David Luethi [aut],
Philipp Erb [aut],
Simon Otziger [aut],
Daniel McDonald [aut],
Paul Smith |
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 |
Reference manual: | FKF.pdf |
Vignettes: |
Fast Kalman Filter |
Package source: | FKF_0.2.5.tar.gz |
Windows binaries: | r-devel: FKF_0.2.5.zip, r-release: FKF_0.2.5.zip, r-oldrel: FKF_0.2.5.zip |
macOS binaries: | r-release (arm64): FKF_0.2.5.tgz, r-oldrel (arm64): FKF_0.2.5.tgz, r-release (x86_64): FKF_0.2.5.tgz, r-oldrel (x86_64): FKF_0.2.5.tgz |
Old sources: | FKF archive |
Reverse imports: | garma, RcppSMC, tscopula |
Reverse suggests: | FKF.SP, highfrequency, sarima |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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