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 [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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