boiwsa: Seasonal Adjustment of Weekly Data

Perform seasonal adjustment of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates of weekly data and includes functions for the creation of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The method is described in more detail in Ginker (2023) <doi:10.13140/RG.2.2.12221.44000>.

Version: 1.1.3
Depends: R (≥ 2.10)
Imports: dplyr, forecast, ggplot2, Hmisc, lubridate, stats, tidyr, rlang, gridExtra
Published: 2025-02-05
DOI: 10.32614/CRAN.package.boiwsa
Author: Tim Ginker ORCID iD [aut, cre, cph], Jon Lachman [ctb]
Maintainer: Tim Ginker <tim.ginker at gmail.com>
BugReports: https://github.com/timginker/boiwsa/issues
License: MIT + file LICENSE
URL: https://github.com/timginker/boiwsa
NeedsCompilation: no
Materials: README, NEWS
In views: TimeSeries
CRAN checks: boiwsa results

Documentation:

Reference manual: boiwsa.html , boiwsa.pdf

Downloads:

Package source: boiwsa_1.1.3.tar.gz
Windows binaries: r-devel: boiwsa_1.1.3.zip, r-release: boiwsa_1.1.3.zip, r-oldrel: boiwsa_1.1.3.zip
macOS binaries: r-release (arm64): boiwsa_1.1.3.tgz, r-oldrel (arm64): boiwsa_1.1.3.tgz, r-release (x86_64): boiwsa_1.1.3.tgz, r-oldrel (x86_64): boiwsa_1.1.3.tgz
Old sources: boiwsa archive

Linking:

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