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: | 1.0.5.2 |
| 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: | 2024-02-09 |
| Author: | Arnaud Feldmann 
[aut] (Creator and maintener of the package until the version
1.0.2),
Franck Arnaud [ctb] (barplot base graphics method for the mts class),
Pauline Meinzel [cre],
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 + file LICENSE |
| URL: | https://inseefr.github.io/disaggR/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| In views: | TimeSeries |
| CRAN checks: | disaggR results |
Documentation:
| Reference manual: | disaggR.pdf |
| Vignettes: |
Introduction to disaggR Outliers in two-step benchmarks |
Downloads:
| Package source: | disaggR_1.0.5.2.tar.gz |
| Windows binaries: | r-devel: disaggR_1.0.5.2.zip, r-release: disaggR_1.0.5.2.zip, r-oldrel: disaggR_1.0.5.2.zip |
| macOS binaries: | r-release (arm64): disaggR_1.0.5.2.tgz, r-oldrel (arm64): disaggR_1.0.5.2.tgz, r-release (x86_64): disaggR_1.0.5.2.tgz, r-oldrel (x86_64): disaggR_1.0.5.2.tgz |
| Old sources: | disaggR archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=disaggR to link to this page.