https://github.com/tbep-tech/wqtrends
R package to assess water quality trends with generalized additive models
https://github.com/tbep-tech/wqtrends
package reporting san-francisco-bay time-series-analysis water-quality
Last synced: 6 days ago
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R package to assess water quality trends with generalized additive models
- Host: GitHub
- URL: https://github.com/tbep-tech/wqtrends
- Owner: tbep-tech
- License: cc0-1.0
- Created: 2020-02-11T16:21:14.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-07-09T20:50:39.000Z (4 months ago)
- Last Synced: 2025-07-14T04:40:48.100Z (4 months ago)
- Topics: package, reporting, san-francisco-bay, time-series-analysis, water-quality
- Language: R
- Homepage: https://tbep-tech.github.io/wqtrends
- Size: 168 MB
- Stars: 11
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.md
Awesome Lists containing this project
- open-sustainable-technology - wqtrends - R package to assess water quality trends with generalized additive models. (Natural Resources / Water Supply and Quality)
README
# wqtrends
[](https://github.com/tbep-tech/wqtrends/actions)
[](https://github.com/tbep-tech/wqtrends/actions)
[](https://app.codecov.io/gh/tbep-tech/wqtrends?branch=master)
[](https://CRAN.R-project.org/package=wqtrends)
[](https://cran.r-project.org/package=wqtrends)
[](https://zenodo.org/badge/latestdoi/239808241)
R package to assess water quality trends for long-term monitoring data in estuaries using Generalized Additive Models with error propagation from mixed-effect meta-analysis. Uses concepts in the [mgcv](https://CRAN.R-project.org/package=mgcv) and [mixmeta](https://CRAN.R-project.org/package=mixmeta) packages. Detailed information on the methods used in this package are described in the following open access article:
*Beck, M.W., de Valpine, P., Murphy, R., Wren, I., Chelsky, A., Foley, M., Senn, D.B. 2022. Multi-scale trend analysis of water quality using error propagation of Generalized Additive Models. Science of the Total Environment. 802:149927. [https://doi.org/10.1016/j.scitotenv.2021.149927](https://doi.org/10.1016/j.scitotenv.2021.149927)*
## Installation
Install the package from CRAN as follows. The development version of the package can be installed from [r-universe](http://tbep-tech.r-universe.dev/#builds). The source code is available on [GitHub](https://github.com/tbep-tech/wqtrends).
```r
# Install wqtrends in R:
install.packages('wqtrends')
# load wqtrends
library(wqtrends)
```
# Issues and suggestions
Please report any issues and suggestions on the [issues link](https://github.com/tbep-tech/wqtrends/issues) for the repository.