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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: 1.5.0
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: 2024-09-04
DOI: 10.32614/CRAN.package.wqtrends
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

Documentation:

Reference manual: wqtrends.pdf
Vignettes: Getting started (source, R code)

Downloads:

Package source: wqtrends_1.5.0.tar.gz
Windows binaries: r-devel: wqtrends_1.5.0.zip, r-release: wqtrends_1.5.0.zip, r-oldrel: wqtrends_1.5.0.zip
macOS binaries: r-release (arm64): wqtrends_1.5.0.tgz, r-oldrel (arm64): wqtrends_1.5.0.tgz, r-release (x86_64): wqtrends_1.5.0.tgz, r-oldrel (x86_64): wqtrends_1.5.0.tgz
Old sources: wqtrends archive

Linking:

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