Package: disaggR
Type: Package
Title: Two-Steps Benchmarks for Time Series Disaggregation
Version: 0.2.0.3
Date: 2021-04-11
Authors@R: 
    c(person(given = "Arnaud",
             family = "Feldmann",
             role = c("aut", "cre"),
             email = "arnaud.feldmann@insee.fr",
             comment = c(ORCID = "0000-0003-0109-7505")),
      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-serie with time-series of higher frequency, 
  using the French National Accounts methodology. The aggregated sum of the 
  resulting time-serie is strictly equal to the low-frequency serie within the 
  benchmarking window. Typically, the low-frequency serie is an annual one, 
  unknown for the last year, and the high frequency one is either quarterly or 
  mensual. See "Methodology of quarterly national accounts", Insee Méthodes 
  N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Imports: ggplot2, rmarkdown, scales, shiny (>= 1.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
Suggests: shinytest, testthat (>= 2.1.0), vdiffr
Depends: R (>= 2.10), methods
BugReports: https://github.com/InseeFr/disaggR/issues
LazyData: yes
Collate: 'bflSmooth.R' 'data.R' 'disaggR.R' 'in.R' 's4declaration.R'
        'twoStepsBenchmark.R' 'methods.R' 'plot.R' 'praislm.R'
        'reView.R' 'threeRuleSmooth.R' 'utils.R'
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-04-11 13:01:43 UTC; arnok
Author: Arnaud Feldmann [aut, cre] (<https://orcid.org/0000-0003-0109-7505>),
  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: Arnaud Feldmann <arnaud.feldmann@insee.fr>
Repository: CRAN
Date/Publication: 2021-04-11 15:20:02 UTC
