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: | 2.0.12 |
Depends: | R (≥ 3.5.0) |
Imports: | dataRetrieval, digest, dplyr, fitdistrplus, grDevices, lubridate, knitr, memoise, mgcv, pander, plyr, readxl, sessioninfo, survival |
Suggests: | devtools, imputeTS, markdown, nlme, rmarkdown, testthat |
Published: | 2024-07-26 |
DOI: | 10.32614/CRAN.package.baytrends |
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, https://tetratech.github.io/baytrends/ |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Hydrology |
CRAN checks: | baytrends results |
Reference manual: | baytrends.pdf |
Vignettes: |
Flow and Salinity Data Sets Processing Censored Water Quality Data |
Package source: | baytrends_2.0.12.tar.gz |
Windows binaries: | r-devel: baytrends_2.0.12.zip, r-release: baytrends_2.0.12.zip, r-oldrel: baytrends_2.0.12.zip |
macOS binaries: | r-release (arm64): baytrends_2.0.12.tgz, r-oldrel (arm64): baytrends_2.0.12.tgz, r-release (x86_64): baytrends_2.0.12.tgz, r-oldrel (x86_64): baytrends_2.0.12.tgz |
Old sources: | baytrends archive |
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