Package: RobKF
Type: Package
Title: Innovative and/or Additive Outlier Robust Kalman Filtering
Version: 1.0.0
Date: 2020-08-26
Authors@R: c(person("Alexander","Fisch",email="a.t.fisch@lancaster.ac.uk",role=c("aut")),
             person("Daniel","Grose",email="dan.grose@lancaster.ac.uk",role=c("aut","cre")),
	     person("Idris","Eckley",email="i.eckley@lancaster.ac.uk",role=c("ths")),
	     person("Paul","Fearnhead",email="p.fearnhead@lancaster.ac.uk",role=c("ths")),
	     person("Bardwell","Lawrence",email="l.bardwell@lancaster.ac.uk",role=c("ctb")))
Description: Implements a series of robust Kalman filtering approaches. It implements the additive outlier robust filters of Ruckdeschel et al. (2014) <arXiv:1204.3358> and Agamennoni et al. (2018) <doi:10.1109/ICRA.2011.5979605>, the innovative outlier robust filter of Ruckdeschel et al. (2014) <arXiv:1204.3358>, as well as the innovative and additive outlier robust filter of Fisch et al. (2020) <arXiv:2007.03238>.
License: GPL
Imports: Rcpp (>= 1.0.2), Rdpack, ggplot2, reshape2, Matrix
RdMacros: Rdpack
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-08-26 19:05:40 UTC; grosedj
Author: Alexander Fisch [aut],
  Daniel Grose [aut, cre],
  Idris Eckley [ths],
  Paul Fearnhead [ths],
  Bardwell Lawrence [ctb]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-01 14:20:07 UTC
