AQEval: Air Quality Evaluation
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>).
| Version: |
0.6.11 |
| 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 |
| Published: |
2026-03-27 |
| 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:
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