# -------------------------------------------- # 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 title: 'rjd3filters: Trend-Cycle Extraction with Linear Filters based on JDemetra+ v3.x' version: 2.1.1.9000 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://aqlt.r-universe.dev repository-code: https://github.com/rjdverse/rjd3filters commit: ab8eb432073027c0851a9d2f0fa614378bac5c89 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