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>).
| Version: | 0.6.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | openair,dplyr,loa,ggplot2,strucchange,segmented,mgcv,tidyr,lubridate,purrr,ggtext, stats,data.table |
| Suggests: | tinytest |
| Published: | 2025-07-14 |
| 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 |
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