<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Seasonal Adjustment of Weekly Data</dc:title>
  <dc:title>R package boiwsa version 1.1.4</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc: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) &lt;doi:10.13140/RG.2.2.12221.44000&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: dplyr, forecast, ggplot2, Hmisc, lubridate, stats, tidyr,
rlang, gridExtra</dc:relation>
  <dc:creator>Tim Ginker &lt;tim.ginker@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tim Ginker [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0002-7138-5417&gt;),
  Jon Lachman [ctb]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=boiwsa/LICENSE)</dc:rights>
  <dc:date>2025-12-14</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=boiwsa</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.boiwsa</dc:identifier>
</oai_dc:dc>
