Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

AQEval: R code for the analysis of discrete change in air quality time-series

Saved in:
Bibliographic Details
Published in:Journal of Open Source Software
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1864030190861025282
collection WordPress RSS
FRELIP Feed Integration
container_title Journal of Open Source Software
description
discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
RSS Article
genre Journal Article
id rss_article:8624
institution FRELIP
journal_source_facet Journal of Open Source Software
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle AQEval: R code for the analysis of discrete change in air quality time-series
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title AQEval: R code for the analysis of discrete change in air quality time-series
title_auth AQEval: R code for the analysis of discrete change in air quality time-series
title_full AQEval: R code for the analysis of discrete change in air quality time-series
title_fullStr AQEval: R code for the analysis of discrete change in air quality time-series
title_full_unstemmed AQEval: R code for the analysis of discrete change in air quality time-series
title_short AQEval: R code for the analysis of discrete change in air quality time-series
title_sort aqeval: r code for the analysis of discrete change in air quality time-series
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url https://joss.theoj.org/papers/10.21105/joss.08839