# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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 based on JDemetra+ v3.x' version: 2.1.1 doi: 10.32614/CRAN.package.rjd3filters abstract: This package provides functions to 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 developped in 'JDemetra+' (), time series analysis software. authors: - family-names: Palate given-names: Jean email: palatejean@gmail.com - family-names: Quartier-la-Tente given-names: Alain email: alain.quartier@yahoo.fr orcid: https://orcid.org/0000-0001-7890-3857 repository: https://rjdverse.r-universe.dev repository-code: https://github.com/rjdverse/rjd3filters commit: bcce59ddc574e3ef5884810f8b79c991d57c77c2 url: https://rjdverse.github.io/rjd3filters/ contact: - family-names: Quartier-la-Tente given-names: Alain email: alain.quartier@yahoo.fr orcid: https://orcid.org/0000-0001-7890-3857