Package: FKF 0.2.6

Paul Smith

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.

Authors:David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Daniel McDonald [aut], Paul Smith [aut, cre]

FKF_0.2.6.tar.gz
FKF_0.2.6.tar.gz(r-4.7-arm64)FKF_0.2.6.tar.gz(r-4.7-x86_64)FKF_0.2.6.tar.gz(r-4.6-arm64)FKF_0.2.6.tar.gz(r-4.6-x86_64)
FKF_0.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
FKF/json (API)
NEWS

# Install 'FKF' in R:
install.packages('FKF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/waternumbers/fkf/issues

Pkgdown/docs site:https://waternumbers.github.io

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

5.07 score 4 packages 65 scripts 493 downloads 1 mentions 2 exports 0 dependencies

Last updated from:100e547137. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK128
linux-devel-x86_64OK118
source / vignettesOK189
linux-release-arm64OK118
linux-release-x86_64OK127
wasm-releaseOK89

Exports:fkffks

Dependencies:

Fast Kalman Filter

Rendered fromFKF.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2021-12-17
Started: 2020-06-01