Function reference • LRE

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

Reference

All functions