DESCRIPTION

Package: rjd3toolkit
Type: Package
Title: Utility Functions around 'JDemetra+ 3.0'
Version: 3.3.1
Authors@R: c(
    person(given = "Jean", 
           family = "Palate", role = c("aut"),
           email = "palatejean@gmail.com"),
    person(given = "Alain", 
           family = "Quartier-la-Tente", role = c("aut"),
           email = "alain.quartier@yahoo.fr",
           comment = c(ORCID = "0000-0001-7890-3857")),
    person(given = "Tanguy", 
           family = "Barthelemy", role = c("aut", "cre", "art"),
           email ="tanguy.barthelemy@insee.fr"),
    person(given = "Anna", 
           family = "Smyk", role = c("aut"),
           email ="anna.smyk@insee.fr")
	)
Description: R Interface to 'JDemetra+ 3.x' (<https://github.com/jdemetra>) time series analysis software.
 It provides functions allowing to model time series (create outlier regressors, user-defined calendar regressors,
 UCARIMA models...), to test the presence of trading days or seasonal effects and also
 to set specifications in pre-adjustment and benchmarking when using rjd3x13 or rjd3tramoseats.
Depends:
    R (>= 4.1.0)
Imports:
    RProtoBuf (>= 0.4.20),
    rJava (>= 1.0-6),
    checkmate,
    methods
SystemRequirements: Java (>= 17)
License: file LICENSE
URL: https://github.com/rjdverse/rjd3toolkit, https://rjdverse.github.io/rjd3toolkit/
LazyData: TRUE
Suggests:
    knitr,
    rmarkdown,
    spelling
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
BugReports: https://github.com/rjdverse/rjd3toolkit/issues
VignetteBuilder: knitr
Encoding: UTF-8
Collate: 
    'utils.R'
    'jd2r.R'
    'protobuf.R'
    'arima.R'
    'calendars.R'
    'calendarts.R'
    'decomposition.R'
    'differencing.R'
    'display.R'
    'distributions.R'
    'generics.R'
    'jd3rslts.R'
    'modellingcontext.R'
    'procresults.R'
    'regarima_generic.R'
    'regarima_rslts.R'
    'spec_benchmarking.R'
    'spec_regarima.R'
    'splines.R'
    'tests_regular.R'
    'tests_seasonality.R'
    'tests_td.R'
    'timeseries.R'
    'variables.R'
    'zzz.R'