Package: FKF Title: Fast Kalman Filter Version: 0.2.6 Authors@R: c(person(given = "David", family="Luethi", role=c("aut")), person(given = "Philipp", family="Erb", role=c("aut")), person(given = "Simon", family="Otziger", role=c("aut")), person(given = "Daniel", family = "McDonald", role = c("aut"), email = "daniel@stat.ubc.ca"), person(given = "Paul", family = "Smith", role = c("aut","cre"), email = "paul@waternumbers.co.uk", comment = c(ORCID = "0000-0002-0034-3412"))) Description: 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. License: GPL (>= 2) Encoding: UTF-8 Imports: graphics Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Depends: R(>= 3.5.0) BugReports: https://github.com/waternumbers/FKF/issues URL: https://waternumbers.github.io/FKF/, https://github.com/waternumbers/FKF NeedsCompilation: yes RoxygenNote: 7.3.1 VignetteBuilder: knitr Config/testthat/edition: 3 Packaged: 2026-10-28 09:32:24 UTC; root Author: David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Daniel McDonald [aut], Paul Smith [aut, cre] () Maintainer: Paul Smith Repository: https://cran.r-universe.dev Date/Publication: 2024-09-09 02:56:14 UTC RemoteUrl: https://github.com/cran/FKF RemoteRef: HEAD RemoteSha: 100e547137d819c0a8aa0e32a16a6390ba86319c