R/baytrends.R

In baytrends: Long Term Water Quality Trend Analysis

#' baytrends: Long Term Water Quality Trend Analysis
#'
#' The baytrends package was developed to enable users to evaluate long-term
#' trends in the Chesapeake Bay 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. This
#' approach, which is fully transferable to other systems, allows for Chesapeake
#' Bay water quality data to be evaluated in a statistically rigorous, yet
#' flexible way to provide insights to a range of management- and
#' research-focused questions. Methodology described in Murphy, RR, E Perry, 
#' J Harcum, and J Keisman  2019  A Generalized Additive Model approach to 
#' evaluating water quality: Chesapeake Bay case study.  Environmental Modelling
#' & Software, 118 (2019) 1-13. 
#' <https://doi.org/10.1016/j.envsoft.2019.03.027>.
#' 
#' This software program is preliminary or provisional and is subject 
#' to revision. This software program is for testing only, no warranty, 
#' expressed or implied, is made as to the accuracy and functioning of the
#' program and related program material nor shall the fact of distribution 
#' constitute any such warranty, and no responsibility is assumed in connection 
#' therewith. This software is provided 'AS IS.
#' 
#'
#' @docType package
#' @name baytrends
NULL