disaggR: Two-Steps Benchmarks for Time Series Disaggregation

The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time-serie with higher frequency time-series, 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).

Version: 1.0.2
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), shinytest (≥ 1.4.0), testthat (≥ 3.0.0), vdiffr (≥ 1.0.0)
Published: 2021-08-23
Author: Arnaud Feldmann ORCID iD [aut] (Author, creator and maintener of the package until the version 1.0.2), Franck Arnaud [ctb] (barplot base graphics method for the mts class), Thomas Laurent [cre], Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Thomas Laurent <thomas.laurent at insee.fr>
BugReports: https://github.com/InseeFr/disaggR/issues
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: TimeSeries
CRAN checks: disaggR results


Reference manual: disaggR.pdf
Vignettes: Introduction to disaggR


Package source: disaggR_1.0.2.tar.gz
Windows binaries: r-devel: disaggR_1.0.2.zip, r-release: disaggR_1.0.2.zip, r-oldrel: disaggR_1.0.2.zip
macOS binaries: r-release (arm64): disaggR_1.0.2.tgz, r-release (x86_64): disaggR_1.0.2.tgz, r-oldrel: disaggR_1.0.2.tgz
Old sources: disaggR archive


Please use the canonical form https://CRAN.R-project.org/package=disaggR to link to this page.