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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: | 1.1.2 |
Depends: | R (≥ 2.10) |
Imports: | dplyr, ggplot2, Hmisc, lubridate, stats, tidyr, rlang, gridExtra |
Published: | 2024-09-23 |
DOI: | 10.32614/CRAN.package.boiwsa |
Author: | Tim Ginker [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 |
Reference manual: | boiwsa.pdf |
Package source: | boiwsa_1.1.2.tar.gz |
Windows binaries: | r-devel: boiwsa_1.1.2.zip, r-release: boiwsa_1.1.2.zip, r-oldrel: boiwsa_1.1.2.zip |
macOS binaries: | r-release (arm64): boiwsa_1.1.2.tgz, r-oldrel (arm64): boiwsa_1.1.2.tgz, r-release (x86_64): boiwsa_1.1.2.tgz, r-oldrel (x86_64): boiwsa_1.1.2.tgz |
Old sources: | boiwsa archive |
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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.