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baytrends  

Long Term Water Quality Trend Analysis
View on CRAN: Click here


Download and install baytrends package within the R console
Install from CRAN:
install.packages("baytrends")

Install from Github:
library("remotes")
install_github("cran/baytrends")

Install by package version:
library("remotes")
install_version("baytrends", "2.0.14")



Attach the package and use:
library("baytrends")
Maintained by
Erik W Leppo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-19
Latest Update: 2024-07-26
Description:
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) .
How to cite:
Erik W Leppo (2018). baytrends: Long Term Water Quality Trend Analysis. R package version 2.0.14, https://cran.r-project.org/web/packages/baytrends. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 1.0.7 (2018-07-19 12:20), 1.1.0 (2019-03-14 19:23), 1.2.1 (2020-03-31 18:40), 2.0.2 (2020-11-24 08:30), 2.0.4 (2021-04-19 19:40), 2.0.5 (2021-05-14 22:32), 2.0.7 (2022-02-25 22:40), 2.0.8 (2022-05-05 22:00), 2.0.9 (2023-05-25 17:20), 2.0.11 (2024-02-23 13:40), 2.0.12 (2024-07-26 16:40)
Other packages that cited baytrends R package
View baytrends citation profile
Other R packages that baytrends depends, imports, suggests or enhances
Complete documentation for baytrends
Functions, R codes and Examples using the baytrends R package
Some associated functions: analysisOrganizeData . appendDateFeatures . baseDay . baseDay2decimal . baytrends . closeOut . createResiduals . dataCensored . dectime . dectime2Date . detrended.flow . detrended.salinity . dot-ExpLNiCens . dot-ExpLNlCens . dot-ExpLNmCens . dot-ExpLNrCens . dot-ExpNiCens . dot-ExpNlCens . dot-ExpNmCens . dot-ExpNrCens . dot-F . dot-H . dot-H1 . dot-H2 . dot-H3 . dot-H4 . dot-H5 . dot-P . dot-T . dot-V . dot-appendDateFeatures . dot-checkRange . dot-chkParameter . dot-findFile . dot-fmtPval . dot-gamANOVA . dot-gamCoeff . dot-gamDiffPORtbl . dot-gamPlotCalc . dot-initializeResults . dot-mergeFlow . dot-mergeSalinity . dot-reAttDF . dot-vTable . eventProcessing . fillMissing . filterWgts . flwAveragePred . gamDiff . gamPlotDisp . gamPlotDispSeason . gamTest . gamTestSeason . getUSGSflow . impute . imputeDF . layerAggregation . layerLukup . loadData . loadExcel . loadModels . loadModelsResid . makeSurvDF . na2miss . nobs . parameterList . sal . saveDF . seasAdjflow . selectData . stationMasterList . unSurv . unSurvDF . usgsGages . 
Some associated R codes: analysisOrganizeData.R . appendDateFeatures.R . baytrends.R . checkRange.R . chkParameter.R . closeOut.R . createResiduals.R . data.R . detrended.flow.R . detrended.salinity.R . findFile.R . flwAveragePred.R . fmtPval.R . gamDiff.R . gamPlotDisp.R . gamPlotDispSeason.R . gamTables.R . gdata_nobs.R . getUSGSflow.R . headers2.R . imputeCensored.R . layerAggregation.R . loadData.R . loadExcel.R . loadModels.R . loadModelsResid.R . makeSurvDF.R . mergeFlow.R . mergeSalinity.R . reAttDF.R . saveDF.R . seasAdjflow2.R . selectData.R . smwrBase_baseDay.R . smwrBase_baseDay2decimal.R . smwrBase_dectime.R . smwrBase_dectime2Date.R . smwrBase_eventProcessing.R . smwrBase_fillMissing.R . smwrBase_na2miss.R . supportFunctions.R . unSurv.R . zzz.R .  Full baytrends package functions and examples
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