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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: |
0.5.7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
openair, dplyr, loa, ggplot2, strucchange, segmented, mgcv, tidyr, lubridate, purrr, ggtext, stats |
| Published: |
2024-04-03 |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.