Function reference • WRTDStidal

All functions
`aiccrq()`	Akaike's Information Criterion for weighted quantile regression
`all_sims()`	Simulate a response variable time series using all functions
`annual_agg()`	Create annual aggregations of WRTDS output
`chldat`	Monthly chlorophyll time series for Hillsborough Bay
`chllab()`	Chlorophyll axis label
`chngest()`	Get trend for a single time period
`createsrch()`	Create a grid of half-window widths to evaluate
`daydat`	Daily chlorophyll, salinity, and discharge time series for the Upper Patuxent River Estuary
`dec_time()`	Create decimal time from time vector
`dynaplot()`	Plot model response to salinity or flow as a lineplot for all months
`fill_grd()`	Add date columns and fill missing values in the interpolation grids
`fillpo()`	Fill the `predonobs` attribute
`fitmoplot()`	Plot the fitted results for a tidal object by month
`fitplot()`	Plot the fitted results for a tidal object
`getwts()`	Get weights for regression
`goodfit()`	Quantile regression goodness of fit
`gradcols()`	Get colors for plots
`gridplot()`	Plot variable response to salinity/flow as a gridded surface for all months
`kendallSeasonalTrendTest()`	Kendall seasonal trend test
`kendallTrendTest()`	Kendall trend test
`lnQ_sim()`	Simulate a discharge time series
`lnres_err()`	Simulate random errors from a time series
`lnres_sim()`	Simulate a water quality time series
`modfit()`	Fit weighted regression and get predicted/normalized response variable
`nobsplot()`	Plot number of observations in a WRTDS interpolation grid
`obsplot()`	Plot observed response variable and salinity/flow data
`prdnrmplot()`	Plot combined predicted and normalized results from a tidal object
`resnorm()`	Get salinity/flow normalized WRTDS predictions from interpolation grids
`respred()`	Get WRTDS predictions from interpolation grids
`resscls()`	Get the scale parameters for predicted values
`samp_sim()`	Sample a daily time series at a set frequency
`seasplot()`	Plot seasonal trends across all years
`seasyrplot()`	Plot seasonal model response by years
`sliceplot()`	Plot time slices within a tidal object
`tidal()`	Create a tidal class object
`tidalmean()`	Create a tidalmean class object
`tidfit`	Monthly chlorophyll time series for Hillsborough Bay as a tidal object
`tidfitmean`	Monthly chlorophyll time series for Hillsborough Bay as a tidal object for the conditional mean model
`tidobj`	Monthly chlorophyll time series for Hillsborough Bay as a tidal object
`tidobjmean`	Monthly chlorophyll time series for Hillsborough Bay as a tidal object, conditional mean model
`winsrch_constrOptim()`	Find the optimal half-window width combination
`winsrch_grid()`	Evaluate half-window width combinations
`winsrch_optim()`	Find the optimal half-window width combination
`wrtds()`	Get WRTDS prediction grid
`wrtdscv()`	Use k-fold cross-validation to evaluate WRTDS model fit
`wrtdsperf()`	Get WRTDS performance metrics
`wrtdsrsd()`	Get WRTDS residuals
`wrtdstrnd()`	Get WRTDS trends
`wrtdstrnd_sk()`	Get WRTDS trends using seasonal Kendall tests
`wtsplot()`	Plot the weights for an observation

Reference

All functions