Assess Water Quality Trends with Generalized Additive Models

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Documentation for package ‘wqtrends’ version 1.4.2

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anlz_avgseason Extract period (seasonal) averages from fitted GAM
anlz_backtrans Back-transform response variable
anlz_fit Return summary statistics for GAM fits
anlz_gam Fit a generalized additive model to a water quality time series
anlz_metseason Extract period (seasonal) metrics from fitted GAM
anlz_mixmeta Fit a mixed meta-analysis regression model of trends
anlz_perchg Estimate percent change trends from GAM results for selected time periods
anlz_prd Get predicted data from fitted GAMs across period of observation
anlz_prdday Get predicted data from fitted GAMs across period of observation, every day
anlz_prdmatrix Get prediction matrix for a fitted GAM
anlz_pvalformat Format p-values for show functions
anlz_smooth Return summary statistics for smoothers of GAMs
anlz_sumtrndseason Estimate seasonal rates of change based on average estimates for multiple window widths
anlz_trans Transform response variable
anlz_trndseason Estimate rates of change based on seasonal metrics
rawdat Raw data from San Francisco Estuary (South Bay)
show_metseason Plot period (seasonal) averages from fitted GAM
show_mettrndseason Plot seasonal metrics and rates of change
show_perchg Plot percent change trends from GAM results for selected time periods
show_prd3d Plot a 3-d surface of predictions
show_prddoy Plot predictions for GAMs against day of year
show_prdseason Plot predictions for GAMs over time, by season
show_prdseries Plot predictions for GAMs over time series
show_sumtrndseason Plot seasonal rates of change based on average estimates for multiple window widths
show_sumtrndseason2 Plot seasonal rates of change in quarters based on average estimates for multiple window widths
show_trndseason Plot rates of change based on seasonal metrics