| 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 |
| annual_agg.default | 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 |
| dec_time.Date | Create decimal time from time vector |
| dynaplot | Plot model response to salinity or flow as a lineplot for all months |
| dynaplot.tidal | Plot model response to salinity or flow as a lineplot for all months |
| dynaplot.tidalmean | Plot model response to salinity or flow as a lineplot for all months |
| fillpo | Fill the 'predonobs' attribute |
| fillpo.tidal | Fill the 'predonobs' attribute |
| fillpo.tidalmean | Fill the 'predonobs' attribute |
| fill_grd | Add date columns and fill missing values in the interpolation grids |
| fitmoplot | Plot the fitted results for a tidal object by month |
| fitmoplot.tidal | Plot the fitted results for a tidal object by month |
| fitmoplot.tidalmean | Plot the fitted results for a tidal object by month |
| fitplot | Plot the fitted results for a tidal object |
| fitplot.tidal | Plot the fitted results for a tidal object |
| fitplot.tidalmean | Plot the fitted results for a tidal object |
| getwts | Get weights for regression |
| getwts.default | 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 |
| gridplot.tidal | Plot variable response to salinity/flow as a gridded surface for all months |
| gridplot.tidalmean | Plot variable response to salinity/flow as a gridded surface for all months |
| kendallSeasonalTrendTest | Kendall seasonal trend test |
| kendallSeasonalTrendTest.data.frame | Kendall seasonal trend test |
| kendallSeasonalTrendTest.default | Kendall seasonal trend test |
| kendallSeasonalTrendTest.formula | Kendall seasonal trend test |
| kendallSeasonalTrendTest.matrix | Kendall seasonal trend test |
| kendallTrendTest | Kendall trend test |
| kendallTrendTest.default | Kendall trend test |
| kendallTrendTest.formula | 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 |
| modfit.data.frame | Fit weighted regression and get predicted/normalized response variable |
| modfit.default | Fit weighted regression and get predicted/normalized response variable |
| modfit.tidal | Fit weighted regression and get predicted/normalized response variable |
| modfit.tidalmean | Fit weighted regression and get predicted/normalized response variable |
| nobsplot | Plot number of observations in a WRTDS interpolation grid |
| nobsplot.default | Plot number of observations in a WRTDS interpolation grid |
| nobsplot.tidal | Plot number of observations in a WRTDS interpolation grid |
| nobsplot.tidalmean | Plot number of observations in a WRTDS interpolation grid |
| obsplot | Plot observed response variable and salinity/flow data |
| obsplot.default | Plot observed response variable and salinity/flow data |
| obsplot.tidal | Plot observed response variable and salinity/flow data |
| obsplot.tidalmean | Plot observed response variable and salinity/flow data |
| prdnrmplot | Plot combined predicted and normalized results from a tidal object |
| prdnrmplot.tidal | Plot combined predicted and normalized results from a tidal object |
| prdnrmplot.tidalmean | Plot combined predicted and normalized results from a tidal object |
| resnorm | Get salinity/flow normalized WRTDS predictions from interpolation grids |
| resnorm.tidal | Get salinity/flow normalized WRTDS predictions from interpolation grids |
| resnorm.tidalmean | Get salinity/flow normalized WRTDS predictions from interpolation grids |
| respred | Get WRTDS predictions from interpolation grids |
| respred.tidal | Get WRTDS predictions from interpolation grids |
| respred.tidalmean | Get WRTDS predictions from interpolation grids |
| resscls | Get the scale parameters for predicted values |
| resscls.tidalmean | 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 |
| seasplot.tidal | Plot seasonal trends across all years |
| seasplot.tidalmean | Plot seasonal trends across all years |
| seasyrplot | Plot seasonal model response by years |
| seasyrplot.tidal | Plot seasonal model response by years |
| seasyrplot.tidalmean | Plot seasonal model response by years |
| sliceplot | Plot time slices within a tidal object |
| sliceplot.tidal | Plot time slices within a tidal object |
| sliceplot.tidalmean | 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_constrOptim.default | Find the optimal half-window width combination |
| winsrch_grid | Evaluate half-window width combinations |
| winsrch_grid.default | Evaluate half-window width combinations |
| winsrch_optim | Find the optimal half-window width combination |
| winsrch_optim.default | Find the optimal half-window width combination |
| wrtds | Get WRTDS prediction grid |
| wrtds.tidal | Get WRTDS prediction grid |
| wrtds.tidalmean | Get WRTDS prediction grid |
| wrtdscv | Use k-fold cross-validation to evaluate WRTDS model fit |
| wrtdscv.default | Use k-fold cross-validation to evaluate WRTDS model fit |
| wrtdsperf | Get WRTDS performance metrics |
| wrtdsperf.tidal | Get WRTDS performance metrics |
| wrtdsperf.tidalmean | Get WRTDS performance metrics |
| wrtdsrsd | Get WRTDS residuals |
| wrtdsrsd.tidal | Get WRTDS residuals |
| wrtdsrsd.tidalmean | Get WRTDS residuals |
| wrtdstrnd | Get WRTDS trends |
| wrtdstrnd.default | Get WRTDS trends |
| wrtdstrnd.tidal | Get WRTDS trends |
| wrtdstrnd.tidalmean | Get WRTDS trends |
| wrtdstrnd_sk | Get WRTDS trends using seasonal Kendall tests |
| wrtdstrnd_sk.default | Get WRTDS trends using seasonal Kendall tests |
| wrtdstrnd_sk.tidal | Get WRTDS trends using seasonal Kendall tests |
| wrtdstrnd_sk.tidalmean | Get WRTDS trends using seasonal Kendall tests |
| wtsplot | Plot the weights for an observation |
| wtsplot.default | Plot the weights for an observation |
| wtsplot.tidal | Plot the weights for an observation |
| wtsplot.tidalmean | Plot the weights for an observation |