Package: boiwsa 1.1.4

Tim Ginker

boiwsa: Seasonal Adjustment of Weekly Data

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>.

Authors:Tim Ginker [aut, cre, cph], Jon Lachman [ctb]

boiwsa_1.1.4.tar.gz
boiwsa_1.1.4.zip(r-4.7)boiwsa_1.1.4.zip(r-4.6)boiwsa_1.1.4.zip(r-4.5)
boiwsa_1.1.4.tgz(r-4.6-any)boiwsa_1.1.4.tgz(r-4.5-any)
boiwsa_1.1.4.tar.gz(r-4.7-any)boiwsa_1.1.4.tar.gz(r-4.6-any)
boiwsa_1.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
boiwsa/json (API)

# Install 'boiwsa' in R:

install.packages('boiwsa', repos = c('https://timginker.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/timginker/boiwsa/issues

Datasets:

dates_il - Israeli working dates
gasoline.data - US finished motor gasoline product supplied
holiday_dates_il - Israeli moving holiday dates
lbm - Weekly number of initial registrations in Israeli Employment Services

On CRAN:

seasonal-adjustment seasonality time-series-analysis

3.48 score 6 stars 10 scripts 276 downloads 11 exports 76 dependencies

Last updated from:cfd2a426a7. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	158
source / vignettes	OK	285
linux-release-x86_64	OK	200
macos-release-arm64	OK	128
macos-oldrel-arm64	OK	108
windows-devel	OK	116
windows-release	OK	109
windows-oldrel	OK	112
wasm-release	OK	119

Exports:boiwsa find_opt find_outliers fourier_vars genhol my_ao my_rosh plot_spec print simple_td summary

Dependencies:backports base64enc bslib cachem checkmate cli cluster colorspace cpp11 data.table digest dplyr evaluate farver fastmap fontawesome forecast foreign Formula fracdiff fs generics ggplot2 glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle lmtest lubridate magrittr memoise mime nlme nnet pillar pkgconfig purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown rpart rstudioapi S7 sass scales stringi stringr tibble tidyr tidyselect timechange timeDate tinytex urca utf8 vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Seasonal adjustment of weekly data	boiwsa
Israeli working dates	dates_il
Find optimal number of fourier variables	find_opt
Detect additive outliers in weekly time series	find_outliers
Create Fourier (trigonometric) regressors for weekly data	fourier_vars
US finished motor gasoline product supplied	gasoline.data
Generate a moving-holiday regressor for weekly data	genhol
Israeli moving holiday dates	holiday_dates_il
Weekly number of initial registrations in Israeli Employment Services (adjusted for strikes)	lbm
Create additive outlier indicator variables	my_ao
Internal function for a specific application	my_rosh
Compare AR spectra of original and seasonally adjusted series	plot_spec
Plot	plot.boiwsa
Predict	predict.boiwsa
Generic print function	print
Print method for boiwsa objects	print.boiwsa
Generate a simple working-day trading-day regressor	simple_td
Generic summary function	summary
Summary function	summary.boiwsa