Package: rjd3filters
Type: Package
Title: Trend-Cycle Extraction with Linear Filters with 'JDemetra+ 3.x'
Version: 2.4.0
Authors@R: c(
  person("Alain", "Quartier-la-Tente", role = c("aut", "cre", "cph"),
         email = "alain.quartier@yahoo.fr",
         comment = c(ORCID = "0000-0001-7890-3857")),
  person("Jean", "Palate", role = c("aut"),
         email = "palatejean@gmail.com"),
  person("Tanguy", "Barthelemy", role = c("ctb"),
         email ="tanguy.barthelemy@insee.fr"),
  person("Anna", "Smyk", role = c("ctb"),
         email ="anna.smyk@insee.fr")
   )
Description: 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.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), methods, MASS, graphics, stats, utils,
        rjd3jars (>= 0.0.5), rjd3toolkit (>= 3.7.1)
SystemRequirements: Java (>= 21)
License: EUPL
LazyData: TRUE
URL: https://github.com/rjdverse/rjd3filters,
        https://rjdverse.github.io/rjd3filters/
BugReports: https://github.com/rjdverse/rjd3filters/issues
Suggests: knitr, rmarkdown, spelling
Encoding: UTF-8
Config/roxygen2/version: 8.1.0
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-29 20:13:54 UTC; alainquartierlatente
Author: Alain Quartier-la-Tente [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-7890-3857>),
  Jean Palate [aut],
  Tanguy Barthelemy [ctb],
  Anna Smyk [ctb]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-10 10:20:07 UTC
Built: R 4.5.3; ; 2026-10-11 23:51:17 UTC; windows
