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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 [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_1.0.0.tar.gz |
Windows binaries: | r-devel: boiwsa_1.0.0.zip, r-release: boiwsa_1.0.0.zip, r-oldrel: boiwsa_1.0.0.zip |
macOS binaries: | r-release (arm64): boiwsa_1.0.0.tgz, r-oldrel (arm64): boiwsa_1.0.0.tgz, r-release (x86_64): boiwsa_1.0.0.tgz, r-oldrel (x86_64): boiwsa_1.0.0.tgz |
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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.
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