DESCRIPTION

Package: disaggR
Type: Package
Title: Two-Steps Benchmarks for Time Series Disaggregation
Version: 1.0.5.3
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/