leppott/baytrends033: 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.

Getting started

Package details

AuthorRebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
MaintainerErik Leppo <[email protected]>
URL https://github.com/tetratech/baytrends
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
leppott/baytrends033 documentation built on July 28, 2018, 10:30 p.m.