Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions. Methodology described in Murphy (2019) <doi:10.1016/j.envsoft.2019.03.027>.
| Version: | 2.0.5 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dataRetrieval, digest, lubridate, memoise, mgcv, plyr, survival |
| Suggests: | devtools, dplyr, fitdistrplus, grDevices, imputeTS, knitr, markdown, nlme, pander, readxl, rmarkdown, sessioninfo, testthat |
| Published: | 2021-05-14 |
| Author: | Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo |
| Maintainer: | Erik W Leppo <Erik.Leppo at tetratech.com> |
| BugReports: | https://github.com/tetratech/baytrends/issues |
| License: | GPL-3 |
| URL: | https://github.com/tetratech/baytrends |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | baytrends results |
| Reference manual: | baytrends.pdf |
| Vignettes: |
Flow and Salinity Data Sets Processing Censored Water Quality Data |
| Package source: | baytrends_2.0.5.tar.gz |
| Windows binaries: | r-devel: baytrends_2.0.5.zip, r-release: baytrends_2.0.5.zip, r-oldrel: baytrends_2.0.5.zip |
| macOS binaries: | r-release (arm64): baytrends_2.0.5.tgz, r-release (x86_64): baytrends_2.0.5.tgz, r-oldrel: baytrends_2.0.5.tgz |
| Old sources: | baytrends archive |
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