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: | 1.0.4.1 | 
| 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: | 2022-12-13 | 
| Author: | Arnaud Feldmann  | 
| Maintainer: | Thomas Laurent <thomas.laurent at insee.fr> | 
| BugReports: | https://github.com/InseeFr/disaggR/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://inseefr.github.io/disaggR/ | 
| NeedsCompilation: | no | 
| Materials: | README NEWS | 
| In views: | TimeSeries | 
| CRAN checks: | disaggR results | 
| Reference manual: | disaggR.pdf | 
| Vignettes: | 
Introduction to disaggR Outliers in two-step benchmarks  | 
| Package source: | disaggR_1.0.4.1.tar.gz | 
| Windows binaries: | r-devel: disaggR_1.0.4.1.zip, r-release: disaggR_1.0.4.1.zip, r-oldrel: disaggR_1.0.4.1.zip | 
| macOS binaries: | r-release (arm64): disaggR_1.0.4.1.tgz, r-oldrel (arm64): disaggR_1.0.4.1.tgz, r-release (x86_64): disaggR_1.0.4.1.tgz, r-oldrel (x86_64): disaggR_1.0.4.1.tgz | 
| Old sources: | disaggR archive | 
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