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