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 |