baytrends: Long Term Water Quality Trend Analysis

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.

Version: 1.2.1
Depends: R (≥ 3.5.0), lubridate, mgcv
Imports: XML, dataRetrieval, digest, gdata, memoise, methods, plyr, survival, zCompositions
Suggests: devtools, fitdistrplus, grDevices, imputeTS, knitr, nlme, pander, readxl, rmarkdown, sessioninfo, testthat
Published: 2020-03-31
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik Leppo <Erik.Leppo at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: baytrends results


Reference manual: baytrends.pdf
Vignettes: Data Sets
Package source: baytrends_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: baytrends_1.2.1.tgz, r-oldrel: baytrends_1.2.1.tgz
Old sources: baytrends archive


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