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