Package: disaggR
Type: Package
Title: Two-Steps Benchmarks for Time Series Disaggregation
Version: 1.0.5.4
Authors@R: 
    c(person(given = "Arnaud",
             family = "Feldmann",
             role = "aut",
             email = "arnaud.feldmann@gmail.com",
             comment = c(ORCID = "0000-0003-0109-7505","Author and maintener of the package until the version 1.0.1")),
      person(given = "Pauline",
             family = "Meinzel",
             role = "cre",
             email = "pauline.meinzel@insee.fr"),
      person(given = "Thomas",
             family = "Laurent",
             role = "ctb",
             comment = "Maintener of the package from 1.0.2 to 1.0.5.2"),
      person(given = "Franck",
             family = "Arnaud",
             role = "ctb",
             comment = "barplot base graphics method for the mts class"),
      person(given = "Institut national de la statistique et des études économiques",
             role = "cph",
             email = "comptes-trimestriels@insee.fr",
             comment = "https://www.insee.fr/"))
Description: The twoStepsBenchmark() and threeRuleSmooth() functions
        allow you to disaggregate a low-frequency time series with
        higher frequency time series, using the French National
        Accounts methodology. The aggregated sum of the resulting time
        series is strictly equal to the low-frequency time series
        within the benchmarking window. Typically, the low-frequency
        time series is an annual one, unknown for the last year, and
        the high frequency one is either quarterly or monthly. See
        "Methodology of quarterly national accounts", Insee Méthodes
        N°126, by Insee (2012, ISBN:978-2-11-068613-8,
        <https://www.insee.fr/en/information/2579410>).
Imports: graphics, grDevices, methods, RColorBrewer (>= 1.1-2), stats,
        utils
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Suggests: knitr, ggplot2 (>= 3.0.0), rmarkdown (>= 2.0.0), shiny (>=
        1.5.0), shinytest2 (>= 0.1.0), testthat (>= 3.0.0), vdiffr (>=
        1.0.0)
Depends: R (>= 3.6.0)
BugReports: https://github.com/InseeFr/disaggR/issues
LazyData: yes
Collate: 'bflSmooth.R' 'data.R' 'disaggR.R' 'utils.R' 'in.R'
        's4register.R' 'twoStepsBenchmark.R' 'methods.R' 'plot.R'
        'praislm.R' 'reView.R' 'threeRuleSmooth.R'
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://inseefr.github.io/disaggR/
Repository: https://inseefr.r-universe.dev
Date/Publication: 2025-10-20 15:49:26 UTC
RemoteUrl: https://github.com/inseefr/disaggr
RemoteRef: HEAD
RemoteSha: a72fbad53328c9dcf15df4e2dfdff443ad1c9c01
NeedsCompilation: no
Packaged: 2026-06-08 08:20:33 UTC; root
Author: Arnaud Feldmann [aut] (ORCID: <https://orcid.org/0000-0003-0109-7505>,
    Author and maintener of the package until the version 1.0.1),
  Pauline Meinzel [cre],
  Thomas Laurent [ctb] (Maintener of the package from 1.0.2 to 1.0.5.2),
  Franck Arnaud [ctb] (barplot base graphics method for the mts class),
  Institut national de la statistique et des études économiques [cph]
    (https://www.insee.fr/)
Maintainer: Pauline Meinzel <pauline.meinzel@insee.fr>