wqtrends
R package to assess water quality trends with generalized additive models.
https://github.com/tbep-tech/wqtrends
Category: Natural Resources
Sub Category: Water Supply and Quality
Keywords
package reporting san-francisco-bay time-series-analysis water-quality
Last synced: about 3 hours ago
JSON representation
Repository metadata
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 (about 5 years ago)
- Default Branch: master
- Last Pushed: 2025-03-11T12:55:33.000Z (about 2 months ago)
- Last Synced: 2025-04-17T22:43:19.658Z (10 days ago)
- Topics: package, reporting, san-francisco-bay, time-series-analysis, water-quality
- Language: R
- Homepage: https://tbep-tech.github.io/wqtrends
- Size: 167 MB
- Stars: 10
- Watchers: 3
- Forks: 4
- Open Issues: 0
- Releases: 8
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.md
README.md
wqtrends
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 and 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
Installation
Install the package from CRAN as follows. The development version of the package can be installed from r-universe. The source code is available on GitHub.
# Install wqtrends in R:
install.packages('wqtrends')
# load wqtrends
library(wqtrends)
Issues and suggestions
Please report any issues and suggestions on the issues link for the repository.
Owner metadata
- Name: Tampa Bay Estuary Program
- Login: tbep-tech
- Email: [email protected]
- Kind: organization
- Description: Tampa Bay Estuary Program is an independent, special district of the State of Florida, and 1 of 28 national estuary programs administered by the USEPA.
- Website: https://tbep-tech.github.io/
- Location: St. Petersburg, FL 33701
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/49565964?v=4
- Repositories: 33
- Last ynced at: 2023-03-05T02:54:06.596Z
- Profile URL: https://github.com/tbep-tech
GitHub Events
Total
- Issues event: 2
- Issue comment event: 2
- Push event: 2
Last Year
- Issues event: 2
- Issue comment event: 2
- Push event: 2
Committers metadata
Last synced: 7 days ago
Total Commits: 181
Total Committers: 1
Avg Commits per committer: 181.0
Development Distribution Score (DDS): 0.0
Commits in past year: 7
Committers in past year: 1
Avg Commits per committer in past year: 7.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| fawda123 | m****2@g****m | 181 |
Committer domains:
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 6
Total pull requests: 0
Average time to close issues: 16 days
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 1.83
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: 4 days
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 3.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- fawda123 (4)
- dnidz (1)
- Craigdux (1)
Top Pull Request Authors
Top Issue Labels
- enhancement (3)
- bug (2)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- cran: 186 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
cran.r-project.org: wqtrends
Assess Water Quality Trends with Generalized Additive Models
- Homepage: <https://github.com/tbep-tech/wqtrends/>
- Documentation: http://cran.r-project.org/web/packages/wqtrends/wqtrends.pdf
- Licenses: CC0
- Latest release: 1.5.0 (published 8 months ago)
- Last Synced: 2025-04-26T13:32:50.347Z (1 day ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 186 Last month
-
Rankings:
- Dependent packages count: 28.56%
- Dependent repos count: 36.908%
- Average: 51.239%
- Downloads: 88.25%
- Maintainers (1)
Dependencies
- R >= 3.5 depends
- dplyr * imports
- ggplot2 * imports
- lubridate * imports
- mgcv * imports
- mixmeta * imports
- plotly * imports
- purrr * imports
- tibble * imports
- tidyr * imports
- viridisLite * imports
- covr * suggests
- english * suggests
- knitr * suggests
- rmarkdown * suggests
- testthat >= 2.1.0 suggests
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/upload-artifact main composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
- actions/cache v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite
Score: 7.533693709848633