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.

Package details

AuthorRebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
MaintainerErik Leppo <[email protected]>
LicenseGPL-3
Version1.1.0
URL https://github.com/tetratech/baytrends
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("baytrends")

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baytrends documentation built on May 2, 2019, 8:33 a.m.