wqtrends: Assess Water Quality Trends with Generalized Additive Models

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.

Version: 1.4.2
Depends: R (≥ 3.5)
Imports: dplyr, ggplot2, lubridate, mgcv, mixmeta, plotly, purrr, tibble, tidyr, viridisLite
Suggests: testthat (≥ 2.1.0), covr, english, knitr, rmarkdown
Published: 2024-01-26
Author: Marcus Beck ORCID iD [aut, cre], Perry de Valpine [aut], Rebecca Murphy [aut], Ian Wren [aut], Ariella Chelsky [aut], Melissa Foley ORCID iD [aut], David Senn ORCID iD [aut]
Maintainer: Marcus Beck <mbeck at tbep.org>
BugReports: https://github.com/tbep-tech/wqtrends/issues
License: CC0
URL: <https://github.com/tbep-tech/wqtrends/>, <https://tbep-tech.github.io/wqtrends/>
NeedsCompilation: no
Citation: wqtrends citation info
Materials: README NEWS
CRAN checks: wqtrends results


Reference manual: wqtrends.pdf
Vignettes: Introduction


Package source: wqtrends_1.4.2.tar.gz
Windows binaries: r-prerel: wqtrends_1.4.2.zip, r-release: wqtrends_1.4.2.zip, r-oldrel: wqtrends_1.4.2.zip
macOS binaries: r-prerel (arm64): wqtrends_1.4.2.tgz, r-release (arm64): wqtrends_1.4.2.tgz, r-oldrel (arm64): wqtrends_1.4.2.tgz, r-prerel (x86_64): wqtrends_1.4.2.tgz, r-release (x86_64): wqtrends_1.4.2.tgz
Old sources: wqtrends archive


Please use the canonical form https://CRAN.R-project.org/package=wqtrends to link to this page.