Developed for use by those tasked with the routine detection, characterisation and quantification of discrete changes in air quality time-series, such as identifying the impacts of air quality policy interventions. The main functions use signal isolation then break-point/segment (BP/S) methods based on 'strucchange' and 'segmented' methods to detect and quantify change events (Ropkins & Tate, 2021, <doi:10.1016/j.scitotenv.2020.142374>).
Version: 0.6.0 Depends: R (≥ 3.5.0) Imports: openair, dplyr, loa, ggplot2, strucchange, segmented, mgcv, tidyr, lubridate, purrr, ggtext, stats, data.table Published: 2025-01-09 DOI: 10.32614/CRAN.package.AQEval Author: Karl Ropkins [aut, cre], Anthony Walker [aut], James Tate [aut] Maintainer: Karl Ropkins <k.ropkins at its.leeds.ac.uk> BugReports: https://github.com/karlropkins/AQEval/issues License: GPL (≥ 3) URL: https://github.com/karlropkins/AQEval, https://karlropkins.github.io/AQEval/ NeedsCompilation: no Citation: AQEval citation info Materials: NEWS CRAN checks: AQEval results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=AQEval to link to this page.
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