The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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. 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

Documentation:

Reference manual: baytrends.pdf
Vignettes: Flow and Salinity Data Sets
Processing Censored Water Quality Data

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=baytrends to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.