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 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.html , FKF.pdf | 
| Vignettes: | Fast Kalman Filter (source, R code) | 
| 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 imports: | RcppSMC, tscopula, wex | 
| Reverse suggests: | FKF.SP, highfrequency, sarima | 
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