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AQEval: Air Quality Evaluation (original) (raw)

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 ORCID iD [aut, cre], Anthony Walker ORCID iD [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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