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RobKF: Innovative and/or Additive Outlier Robust Kalman Filtering

Implements a series of robust Kalman filtering approaches. It implements the additive outlier robust filters of Ruckdeschel et al. (2014) <doi:10.48550/arXiv.1204.3358> and Agamennoni et al. (2018) <doi:10.1109/ICRA.2011.5979605>, the innovative outlier robust filter of Ruckdeschel et al. (2014) <doi:10.48550/arXiv.1204.3358>, as well as the innovative and additive outlier robust filter of Fisch et al. (2020) <doi:10.48550/arXiv.2007.03238>.

Version:1.0.2
Imports:Rcpp (≥ 1.0.2),Rdpack,ggplot2,reshape2,Matrix
LinkingTo:Rcpp,RcppEigen
Published:2021-07-15
DOI:10.32614/CRAN.package.RobKF
Author:Alex TM Fisch [aut], Daniel Grose [aut, cre], Idris A Eckley [aut, ths], Paul Fearnhead [aut, ths], Lawrence Bardwell [aut, ctb]
Maintainer:Daniel Grose <dan.grose at lancaster.ac.uk>
License:GPL-2 |GPL-3 [expanded from: GPL]
NeedsCompilation:yes
Materials:README
In views:AnomalyDetection,TimeSeries
CRAN checks:RobKF results

Documentation:

Reference manual:RobKF.html ,RobKF.pdf

Downloads:

Package source: RobKF_1.0.2.tar.gz
Windows binaries: r-devel:RobKF_1.0.2.zip, r-release:RobKF_1.0.2.zip, r-oldrel:RobKF_1.0.2.zip
macOS binaries: r-release (arm64):RobKF_1.0.2.tgz, r-oldrel (arm64):RobKF_1.0.2.tgz, r-release (x86_64):RobKF_1.0.2.tgz, r-oldrel (x86_64):RobKF_1.0.2.tgz
Old sources: RobKF archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RobKFto link to this page.


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