Seasonal Adjustment of Weekly Data
Overview
Perform seasonal adjustment and forecasting of weekly data. The package provides a user-friendly interface for computing seasonally adjusted estimates and forecasts of weekly time series and includes functions for the construction of country-specific prior adjustment variables, as well as diagnostic tools to assess the quality of the adjustments. The methodology is described in more detail in Ginker (2024) doi:10.13140/RG.2.2.12221.44000.
Added plot_weekly_patterns() to visualize intra-monthly and intra-yearly patterns in weekly data using detrended boxplots. The function accepts separate date and observation vectors or a boiwsa object to inspect the seasonally adjusted series for remaining seasonal patterns. Added examples to the README.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 20
- Examples that run
- 70%7 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 83%
- Documented parameters
- 100%
- Return-value docs
- 83%
- Help pages citing references
- 10%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 1
- Median days to close, 50 most recently updated closed PRs
- 4
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Commits over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/timginker/boiwsa on 2026-10-22.
Dependencies
Installing boiwsa adds 71 packages (41 with compiled code, 64 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-10-12
- Total releases
- 7 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 95 KB / 4 files
- Download size
- 190 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("boiwsa")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.32614/rj-2024-032.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.