Type: Package
Package: rjd3tramoseats
Title: Seasonal Adjustment with TRAMO-SEATS in 'JDemetra+' 3.x
Version: 3.8.0
Authors@R: c(
    person("Jean", "Palate", , "palatejean@gmail.com", role = "aut"),
    person("Alain", "Quartier-la-Tente", , "alain.quartier@yahoo.fr", role = "aut",
           comment = c(ORCID = "0000-0001-7890-3857")),
    person("Tanguy", "Barthelemy", , "timeserieswithjdemetraandr@gmail.com", role = c("aut", "cre", "art")),
    person("Anna", "Smyk", , "anna.smyk@insee.fr", role = "aut")
  )
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>)
    time series analysis software.  It offers full access to options and
    outputs of 'TRAMO-SEATS' (Time series Regression with ARIMA noise,
    Missing values and Outliers - Signal Extraction in ARIMA Time Series),
    including 'TRAMO' modelling (ARIMA model with outlier detection and
    trading days adjustment). ARIMA = AutoRegressive Integrated Moving Average.
License: EUPL
URL: https://github.com/rjdverse/rjd3tramoseats,
        https://rjdverse.github.io/rjd3tramoseats/
BugReports: https://github.com/rjdverse/rjd3tramoseats/issues
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), RProtoBuf (>= 0.4.25), stats, utils,
        rjd3jars (>= 0.0.5), rjd3toolkit (>= 3.8.0)
Encoding: UTF-8
SystemRequirements: Java (>= 21)
Collate: 'deprecated.R' 'print.R' 'utils.R' 'tramoseats_rslts.R'
        'tramoseats_spec.R' 'revisions.R' 'rjd3tramoseats-package.R'
        'seats.R' 'seats_spec.R' 'tramo_generic.R' 'tramo_outliers.R'
        'tramo_spec.R' 'tramoseats.R' 'zzz.R'
Suggests: spelling
Language: en-US
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-09 14:18:46 UTC; onyxia
Author: Jean Palate [aut],
  Alain Quartier-la-Tente [aut] (ORCID:
    <https://orcid.org/0000-0001-7890-3857>),
  Tanguy Barthelemy [aut, cre, art],
  Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-10 07:30:14 UTC
Built: R 4.7.0; ; 2026-09-01 03:10:18 UTC; windows
