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cff-version: 1.2.0
message: 'To cite package "rjd3filters" in publications use:'
type: software
license: EUPL-1.0
title: 'rjd3filters: Trend-Cycle Extraction with Linear Filters with ''JDemetra+ 3.x'''
version: 2.4.0
doi: 10.32614/CRAN.package.rjd3filters
abstract: Build and apply symmetric and asymmetric moving averages (= linear filters)
  for trend-cycle extraction. In particular, it implements several modern approaches
  for real-time estimates from the viewpoint of revisions and time delay in detecting
  turning points. It includes the local polynomial approach of Proietti and Luati
  (2008), the Reproducing Kernel Hilbert Space (RKHS) of Dagum and Bianconcini (2008)
  and the Fidelity-Smoothness-Timeliness approach of Grun-Rehomme, Guggemos, and Ladiray
  (2018). It is based on 'Java' libraries developed in 'JDemetra+' (<https://github.com/jdemetra>),
  time series analysis software.
authors:
- family-names: Quartier-la-Tente
  given-names: Alain
  email: alain.quartier@yahoo.fr
  orcid: https://orcid.org/0000-0001-7890-3857
- family-names: Palate
  given-names: Jean
  email: palatejean@gmail.com
repository: https://cran.r-universe.dev
repository-code: https://github.com/rjdverse/rjd3filters
commit: d1f0dae69968721e8aae8d5c4e30794994a083c5
url: https://rjdverse.github.io/rjd3filters/
date-released: '2026-10-10'
contact:
- family-names: Quartier-la-Tente
  given-names: Alain
  email: alain.quartier@yahoo.fr
  orcid: https://orcid.org/0000-0001-7890-3857