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>.

Package details

AuthorRebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
MaintainerErik W Leppo <Erik.Leppo@tetratech.com>
LicenseGPL-3
Version2.0.5
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 15, 2021, 1:07 a.m.