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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: |
1.4.2 |
| 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  [aut,
cre],
Perry de Valpine [aut],
Rebecca Murphy [aut],
Ian Wren [aut],
Ariella Chelsky [aut],
Melissa Foley
[aut],
David Senn [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:
Downloads:
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.
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