boiwsa: Seasonal Adjustment of Weekly Data

Perform seasonal adjustment of weekly data. The package offers a user-friendly interface for computing seasonally adjusted estimates of weekly data and also includes diagnostic tools to assess the quality of the adjustments. Furthermore, it incorporates tools uniquely tailored to the specific characteristics of Israeli data. The method is described in more detail in Ginker (2023) <doi:10.13140/RG.2.2.12221.44000>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: dplyr, Hmisc, lubridate, MuMIn, stats, tidyr, rlang
Published: 2023-10-12
Author: Tim Ginker ORCID iD [aut, cre, cph]
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.pdf

Downloads:

Package source: boiwsa_1.0.0.tar.gz
Windows binaries: r-prerel: boiwsa_1.0.0.zip, r-release: boiwsa_1.0.0.zip, r-oldrel: boiwsa_1.0.0.zip
macOS binaries: r-prerel (arm64): boiwsa_1.0.0.tgz, r-release (arm64): boiwsa_1.0.0.tgz, r-oldrel (arm64): boiwsa_1.0.0.tgz, r-prerel (x86_64): boiwsa_1.0.0.tgz, r-release (x86_64): boiwsa_1.0.0.tgz

Linking:

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