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Resources","sub_category":"Water Supply and Quality","monthly_downloads":573,"total_dependent_repos":0,"total_dependent_packages":0,"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).  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