Package: boiwsa
Type: Package
Title: Seasonal Adjustment of Weekly Data
Version: 1.1.4
Authors@R: c(
    person("Tim", "Ginker", email ="tim.ginker@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-7138-5417")),
    person("Jon", "Lachman", role = "ctb", email = "jon@indicio.com"))
Maintainer: Tim Ginker <tim.ginker@gmail.com>
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: dplyr, forecast, ggplot2, Hmisc, lubridate, stats, tidyr,
        rlang, gridExtra
LazyData: true
Depends: R (>= 2.10)
URL: https://github.com/timginker/boiwsa
BugReports: https://github.com/timginker/boiwsa/issues
NeedsCompilation: no
Packaged: 2025-12-14 10:18:08 UTC; timgi
Author: Tim Ginker [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-7138-5417>),
  Jon Lachman [ctb]
Repository: CRAN
Date/Publication: 2025-12-14 10:30:01 UTC
Built: R 4.6.0; ; 2026-04-25 13:36:34 UTC; unix
