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: | 1.0.7 |
| Depends: | R (≥ 3.2.0), lubridate, mgcv |
| Imports: | XML, dataRetrieval, digest, gdata, memoise, methods, plyr, survival, zCompositions |
| Suggests: | devtools, fitdistrplus, imputeTS, knitr, nlme, pander, readxl, rmarkdown, testthat |
| Published: | 2018-07-19 |
| Author: | Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo |
| Maintainer: | Erik Leppo <Erik.Leppo at tetratech.com> |
| License: | GPL-3 |
| URL: | https://github.com/tetratech/baytrends |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | baytrends results |
| Reference manual: | baytrends.pdf |
| Vignettes: |
Vignette, Create Seasonally Detrended Flow and Salinity Data Sets Vignette, QW |
| Package source: | baytrends_1.0.7.tar.gz |
| Windows binaries: | r-devel: baytrends_1.0.7.zip, r-release: baytrends_1.0.7.zip, r-oldrel: baytrends_1.0.7.zip |
| OS X binaries: | r-release: baytrends_1.0.7.tgz, r-oldrel: baytrends_1.0.7.tgz |
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