Package index • LRE

All functions
`anova(<fitmodel>)`	Analysis of Variance of fitted model
`burdRC`	burdRC
`burdRNA`	burdRNA
`burdRQ`	burdRQ
`burd_rain`	burd_rain
`CreateData()`	Creates datasets that will be used in loads modelling and prediction
`CreateY()`	Creates a categorical year variable
`diagnostic()`	Produces diagnostic plots of a fitted loads model
`FitModel()`	FitModel
`hist(<data>)`	histogram
`hist()`	histogram
`LQflow()`	Create linear and quadratic terms for flow
`CreateLD()` `CreateQregDataset()` `PlotCQ()` `CreateCQDataset()` `AssignVal()` `CreateRegDate()` `CreateLoadVars()`	Internal functions for `CreateData` function.
`LRE-diagnostic-Internal`	Functions to examine diagnostics of fitted model
`LRE-plotpredict-Internal`	Internal function used to plot predictions in the `plot.PredictLoad` function.
`Intervals()` `CalcSE()` `BlockSigma()` `ConvertFacts()` `EstChat()` `EstLoad()` `EstLoadYS()` `ExtractDailyLoads()` `LoadPlot()`	Internal functions for `predict.fitmodel` function.
`ReadQ()` `ReadC()` `ExtractDT()`	Internal functions for `ReadInData` function.
`features()` `regularizeFlowSS()` `regularizeFlowR()` `FitSmQ()`	Internal functions to create a regularized flow dataset using either a smoothing spline or rainfall record using Random Forests.
`plot(<data>)`	Plot data objects
`plot(<fitmodel>)`	Plot fitmodel objects
`plot(<PredictLoad>)`	plot.PredictLoad
`plot(<regdata>)`	Plot regularised data
`predictL(<fitmodel>)`	predictL.fitmodel
`predictL()`	predictL
`print(<PredictLoad>)`	print.PredictLoad
`print(<sumregdata>)`	Print out summaries from regularised data
`ReadInData()` `ReadInDataFromR()`	Read In Data
`summary(<data>)`	summary.data
`summary(<fitmodel>)`	Summarises fitted model.
`summary(<regdata>)`	Summarise regularised data

Reference

All functions