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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "kfino" in publications use:'
type: software
license: GPL-3.0-only
title: 'kfino: Kalman Filter for Impulse Noised Outliers'
version: 1.0.0
doi: 10.32614/CRAN.package.kfino
abstract: 'A method for detecting outliers with a Kalman filter on impulsed noised
  outliers and prediction on cleaned data. ''kfino'' is a robust sequential algorithm
  allowing to filter data with a large number of outliers. This algorithm is based
  on simple latent linear Gaussian processes as in the Kalman Filter method and is
  devoted to detect impulse-noised outliers. These are data points that differ significantly
  from other observations. ''ML'' (Maximization Likelihood) and ''EM'' (Expectation-Maximization
  algorithm) algorithms were implemented in ''kfino''. The method is described in
  full details in the following arXiv e-Print: <arXiv:2208.00961>.'
authors:
- family-names: Cloez
  given-names: Bertrand
  email: bertrand.cloez@inrae.fr
- family-names: Sanchez
  given-names: Isabelle
  email: isabelle.sanchez@inrae.fr
repository: https://sanchezi.r-universe.dev
commit: 95716595641d0166dd6c29a4bc67b1bb5ad8cbf4
url: https://forgemia.inra.fr/isabelle.sanchez/kfino
date-released: '2022-11-03'
contact:
- family-names: Sanchez
  given-names: Isabelle
  email: isabelle.sanchez@inrae.fr