{"id":13949154,"url":"https://github.com/tbep-tech/wqtrends","last_synced_at":"2026-02-19T02:33:08.430Z","repository":{"id":49948825,"uuid":"239808241","full_name":"tbep-tech/wqtrends","owner":"tbep-tech","description":"R package to assess water quality trends with generalized additive models","archived":false,"fork":false,"pushed_at":"2025-07-09T20:50:39.000Z","size":176133,"stargazers_count":11,"open_issues_count":0,"forks_count":4,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-07-14T04:40:48.100Z","etag":null,"topics":["package","reporting","san-francisco-bay","time-series-analysis","water-quality"],"latest_commit_sha":null,"homepage":"https://tbep-tech.github.io/wqtrends","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tbep-tech.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":".github/CONTRIBUTING.md","funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2020-02-11T16:21:14.000Z","updated_at":"2025-07-11T00:29:14.000Z","dependencies_parsed_at":"2023-12-18T18:29:30.371Z","dependency_job_id":"71587b49-a271-48bb-b41b-fbd4584824bf","html_url":"https://github.com/tbep-tech/wqtrends","commit_stats":{"total_commits":180,"total_committers":1,"mean_commits":180.0,"dds":0.0,"last_synced_commit":"43dec3c5487ae71b376a077c6a811085ce0facbe"},"previous_names":[],"tags_count":8,"template":false,"template_full_name":null,"purl":"pkg:github/tbep-tech/wqtrends","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbep-tech%2Fwqtrends","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbep-tech%2Fwqtrends/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbep-tech%2Fwqtrends/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbep-tech%2Fwqtrends/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tbep-tech","download_url":"https://codeload.github.com/tbep-tech/wqtrends/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbep-tech%2Fwqtrends/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":265402832,"owners_count":23759234,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["package","reporting","san-francisco-bay","time-series-analysis","water-quality"],"created_at":"2024-08-08T05:01:39.469Z","updated_at":"2025-10-22T05:06:16.072Z","avatar_url":"https://github.com/tbep-tech.png","language":"R","funding_links":[],"categories":["Natural Resources"],"sub_categories":["Water Supply and Quality"],"readme":"\n# wqtrends\n\n[![R-CMD-check](https://github.com/tbep-tech/wqtrends/workflows/R-CMD-check/badge.svg)](https://github.com/tbep-tech/wqtrends/actions)\n[![pkgdown](https://github.com/tbep-tech/wqtrends/workflows/pkgdown/badge.svg)](https://github.com/tbep-tech/wqtrends/actions)\n[![Codecov test coverage](https://codecov.io/gh/tbep-tech/wqtrends/branch/master/graph/badge.svg)](https://app.codecov.io/gh/tbep-tech/wqtrends?branch=master)\n[![CRAN status](https://www.r-pkg.org/badges/version/wqtrends)](https://CRAN.R-project.org/package=wqtrends)\n[![](https://cranlogs.r-pkg.org/badges/grand-total/wqtrends)](https://cran.r-project.org/package=wqtrends)\n[![DOI](https://zenodo.org/badge/239808241.svg)](https://zenodo.org/badge/latestdoi/239808241)\n\nR 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:\n\n*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)*\n\n## Installation\n\nInstall 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).\n\n```r\n# Install wqtrends in R:\ninstall.packages('wqtrends')\n\n# load wqtrends\nlibrary(wqtrends)\n```\n\n# Issues and suggestions\n\nPlease report any issues and suggestions on the [issues link](https://github.com/tbep-tech/wqtrends/issues) for the repository.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftbep-tech%2Fwqtrends","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftbep-tech%2Fwqtrends","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftbep-tech%2Fwqtrends/lists"}