The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 1.0.5.3
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: 2024-07-11
DOI: 10.32614/CRAN.package.disaggR
Author: Arnaud Feldmann ORCID 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 + 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_1.0.5.3.tar.gz
Windows binaries: r-devel: disaggR_1.0.5.3.zip, r-release: disaggR_1.0.5.3.zip, r-oldrel: disaggR_1.0.5.3.zip
macOS binaries: r-release (arm64): disaggR_1.0.5.3.tgz, r-oldrel (arm64): disaggR_1.0.5.3.tgz, r-release (x86_64): disaggR_1.0.5.3.tgz, r-oldrel (x86_64): disaggR_1.0.5.3.tgz
Old sources: disaggR archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.