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
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
