Assess Water Quality Trends with Generalized Additive Models R package wqtrends version 1.5.2 Assess Water Quality Trends for Long-Term Monitoring Data in Estuaries using Generalized Additive Models following Wood (2017) <doi:10.1201/9781315370279> and Error Propagation with Mixed-Effects Meta-Analysis following Sera et al. (2019) <doi:10.1002/sim.8362>. Methods are available for model fitting, assessment of fit, annual and seasonal trend tests, and visualization of results. Software Depends: R (>= 3.5) Imports: dplyr, ggplot2, lubridate, mgcv, mixmeta, plotly, purrr, tibble, tidyr, viridisLite Suggests: testthat (>= 2.1.0), covr, english, knitr, rmarkdown Marcus Beck <mbeck@tbep.org> Comprehensive R Archive Network (CRAN) Marcus Beck [aut, cre] (ORCID: <https://orcid.org/0000-0002-4996-0059>), Perry de Valpine [aut], Rebecca Murphy [aut], Ian Wren [aut], Ariella Chelsky [aut], Melissa Foley [aut] (ORCID: <https://orcid.org/0000-0002-5832-6404>), David Senn [aut] (ORCID: <https://orcid.org/0000-0002-4869-3550>) CC0 2026-01-12 application/tgz https://CRAN.R-project.org/package=wqtrends doi:10.32614/CRAN.package.wqtrends