Function reference

anlz_avgseason()
 Extract period (seasonal) averages from fitted GAM

anlz_backtrans()
 Backtransform 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 metaanalysis 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 pvalues 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

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 3d 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

rawdat
 Raw data from San Francisco Estuary (South Bay)