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disaggR: Two-Steps Benchmarks for Time Series Disaggregation

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>).

Version:1.0.5.4
Depends:R (≥ 3.6.0)
Imports:graphics, grDevices, methods,RColorBrewer (≥ 1.1-2), stats, utils
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)
Published:2025-11-04
DOI:10.32614/CRAN.package.disaggR
Author:Arnaud FeldmannORCID iD [aut] (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 at insee.fr>
BugReports:https://github.com/InseeFr/disaggR/issues
License:MIT + fileLICENSE
URL:https://inseefr.github.io/disaggR/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:disaggR results

Documentation:

Reference manual:disaggR.html ,disaggR.pdf
Vignettes:Introduction to disaggR (source,R code)
Outliers in two-step benchmarks (source,R code)

Downloads:

Package source: disaggR_1.0.5.4.tar.gz
Windows binaries: r-devel:disaggR_1.0.5.4.zip, r-release:disaggR_1.0.5.4.zip, r-oldrel:disaggR_1.0.5.4.zip
macOS binaries: r-release (arm64):disaggR_1.0.5.4.tgz, r-oldrel (arm64):disaggR_1.0.5.4.tgz, r-release (x86_64):disaggR_1.0.5.4.tgz, r-oldrel (x86_64):disaggR_1.0.5.4.tgz
Old sources: disaggR archive

Linking:

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