Air Quality Evaluation R package AQEval version 0.6.11 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>; Ropkins et al., 2026, <doi:10.21105/joss.08839>). Software Depends: R (>= 3.5.0) Imports: openair, dplyr (>= 1.1.0), loa, ggplot2, strucchange, segmented, mgcv, tidyr, lubridate, purrr, ggtext, stats, data.table Suggests: tinytest Karl Ropkins <k.ropkins@its.leeds.ac.uk> Comprehensive R Archive Network (CRAN) Karl Ropkins [aut, cre] (ORCID: <https://orcid.org/0000-0002-0294-6997>), Anthony Walker [aut] (ORCID: <https://orcid.org/0000-0003-3979-0989>), James Tate [aut] GPL (>= 3) 2026-03-27 application/tgz https://CRAN.R-project.org/package=AQEval doi:10.32614/CRAN.package.AQEval