predictL.fitmodel: predictL.fitmodel
In pkuhnert/LRE: Loads Regression Estimator

Description Usage Arguments Details Value Note References See Also

Predicts the load and provides uncertainty estimates for each water year.

## S3 method for class 'fitmodel'
predictL(
  object,
  objfix = NULL,
  x,
  flow.error = list(me = 0, ce = 0),
  samp.unit = "hour",
  pvalue = 0.05
)

`object`	GAM modelling object resulting from `FitModel` function.
`objfix`	GAM modelling object resulting from `FitModel` function when a correlation structure has been implemented.
`x`	load data resulting from the `CreateData` function.
`flow.error`	a list containing the flow measurement and cross-sectional error in terms of the coefficient of variation. Default: none.
`samp.unit`	Sampling unit for the loads calculation, "day" or "hour"
`pvalue`	for confidence intervals. Default: 0.05 (95 confidence intervals)

Computes the loads estimates for each water year with standard error estimates according to the p-value, sampling unit and flow error specified. By default, the error due to flow rate is assumed to be zero. Error can be included as a coefficient of variation according to whether the error is due to the measurement of flow (me) or the position of the gauge in the river, which is referred to as "cross-sectional" (ce) error.

a list of class 'PredictLoad' with elements annual annual loads estimates daily daily loads estimates Standard print and plot functions apply.

Only water year calculations have been implemented.

Kuhnert, P.M., Henderson, B.L., Lewis, S.E., Bainbridge, Z.T., Wilkinson, S.N. and Brodie, J.E. (2012) Quantifying total suspended sediment export from the Burdekin River catchment using the loads regression estimator tool, Water Resources Research, 48, W04533,doi:10.1029/2011WR011080.

ReadInData, CreateData, FitModel

pkuhnert/LRE documentation built on March 4, 2021, 2:50 a.m.