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wqtrends

R package to assess water quality trends with generalized additive models

https://github.com/tbep-tech/wqtrends

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.6%) to scientific vocabulary

Keywords

package reporting san-francisco-bay time-series-analysis water-quality
Last synced: 6 months ago · JSON representation

Repository

R package to assess water quality trends with generalized additive models

Basic Info
Statistics
  • Stars: 11
  • Watchers: 3
  • Forks: 4
  • Open Issues: 0
  • Releases: 9
Topics
package reporting san-francisco-bay time-series-analysis water-quality
Created about 6 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License

README.md

wqtrends

R-CMD-check pkgdown Codecov test coverage CRAN status DOI

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.

```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 for the repository.

Owner

  • Name: Tampa Bay Estuary Program
  • Login: tbep-tech
  • Kind: organization
  • Email: mbeck@tbep.org
  • Location: St. Petersburg, FL 33701

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.

GitHub Events

Total
  • Issues event: 2
  • Issue comment event: 2
  • Push event: 11
Last Year
  • Issues event: 2
  • Issue comment event: 2
  • Push event: 11

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 182
  • Total Committers: 1
  • Avg Commits per committer: 182.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 8
  • Committers: 1
  • Avg Commits per committer: 8.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
fawda123 m****2@g****m 182

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • 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 requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 4 days
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 3.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • fawda123 (4)
  • dnidz (1)
  • Craigdux (1)
Pull Request Authors
Top Labels
Issue Labels
bug (2) enhancement (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 157 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: wqtrends

Assess Water Quality Trends with Generalized Additive Models

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 157 Last month
Rankings
Dependent packages count: 28.6%
Dependent repos count: 36.9%
Average: 51.2%
Downloads: 88.2%
Maintainers (1)
mbeck@tbep.org
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • 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
.github/workflows/R-CMD-check.yaml actions
  • 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
.github/workflows/pkgdown.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
.github/workflows/test-coverage.yaml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite