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-4.5-noble)FKF_0.2.6.tar.gz(r-4.4-noble)
FKF_0.2.6.tgz(r-4.4-emscripten)FKF_0.2.6.tgz(r-4.3-emscripten)
FKF.pdf |FKF.html✨
FKF/json (API)
NEWS

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

Peer review:

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

Uses libs:
  • openblas– Optimized BLAS

5.03 score 2 packages 60 scripts 854 downloads 1 mentions 2 exports 0 dependencies

Last updated 3 months agofrom:100e547137. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linux-x86_64OKNov 08 2024

Exports:fkffks

Dependencies:

Fast Kalman Filter

Rendered fromFKF.Rmdusingknitr::rmarkdownon Nov 08 2024.

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