Package index • loadflex

All functions

aggregateSolute(): Aggregate loads by the time periods specified by the user
as.data.frame(<metadata>): Convert a metadata object to a 1-row data.frame
compModel-class: #### compModel class #### The engine of a loadInterp model.
convertToEGRET(): Convert loadflex to EGRET object
convertToEGRETDaily(): Convert estimation and load prediction data into the EGRET Daily data.frame
convertToEGRETInfo(): Convert a loadflex metadata object into the EGRET INFO dataframe.
convertToEGRETSample(): Convert the interpolation data.frame into the EGRET Sample dataframe.
convertUnits(): Produce conversion factor to multiply old.units by to get new.units
rhoEqualDates() rho1DayBand(): Get the assumed correlation between residuals or predictions at pairs of dates.
cormatEqualDates() cormat1DayBand() cormatDiagonal(): Functions that each produce an autocorrelation matrix with a specified pattern.
correlations: Correlation functions in loadflex
dimInfo(): Return a data.frame describing each dimension of the units (1 row per dimension)
eg_loadflex lamprey_discharge lamprey_nitrate eg_fitdat eg_estdat eg_metadata eg_loadInterp eg_loadLm eg_loadReg2 eg_loadComp: Example datasets and objects for the loadflex package
`==`(<metadata>,<metadata>): Basic equality test for two metadata objects.
estimateMSE(): Estimate model uncertainty algorithmically.
estimateMSE(<loadComp>): Estimate uncertainty in a composite model.
estimateMSE(<loadInterp>): Estimate uncertainty in an interpolation using leave-one-out cross validation.
estimateRho(): Estimate the autocorrelation of a mid- to high-resolution time series
expandFlowForEGRET(): Convert a date and discharge data.frame into EGRET format
flowconcToFluxConversion(): Provide the conversion factor which, when multiplied by flow * conc, gives the flux in the desired units
formatPreds(): formatPreds raw to final predictions
genericDistanceWeightedInterpolation(): A parameterizable distance-weighted interpolation function.
genericSmoothSplineInterpolation(): A parameterizable smoothing spline function.
genericTriangularInterpolation(): A parameterizable triangular interpolation function.
getCormatCustom(): Turn an autocorrelation function into a function that produces a correlation matrix
getCormatFirstOrder(): get rho matrix first order
getCormatTaoBand(): Same idea as getCormatCustom(rho1DayBand, dates) but runs faster.
getCorrectionFraction(): The fraction of prediction that is due to a correction.
getDistanceWeightedInterpolation(): Generate a distance-weighted interpolation function with the parameters of your choice.
getFittedModel(): Retrieve the fitted model, if appropriate, from a loadModel load model
getFittedModel(<loadModel>): Retrieve the fitted model, if appropriate, from a loadModel load model
getFittingData(): Extract the data originally used to fit a load model.
getFittingData(<loadModel>): Retrieve the data used to fit the model
getFittingFunction(): Get a function that can be used to refit the load.model with new data.
getFittingFunction(<loadModel>): Retrieve a fitting function from a loadModel load model
getMetadata(): Extract metadata from a load model.
getMetadata(<loadModel>): Retrieve metadata from a loadModel load model
getMetadata(<loadReg>): Extracts and imports metadata from an rloadest loadReg model into an object of class "metadata"
getResiduals(): getResiduals return the residuals of the load.model
getRhoFirstOrderFun(): Produces a function that uses a first-order autocorrelation model to estimate the correlation between two dates.
getSmoothSplineInterpolation(): Generate a smoothing spline function with the parameters of your choice.
getTriangularInterpolation(): Generate a triangular interpolation function with the parameters of your choice.
interpModel-class: loadInterp is a class of load models that hold interpolation functions. The engine of a loadInterp model.
linearInterpolation() triangularInterpolation() rectangularInterpolation() splineInterpolation() smoothSplineInterpolation() distanceWeightedInterpolation(): Interpolation functions
isTimestepRegular(): Check a time series for evenly spaced dates.
loadComp-class: A load model class implementing the composite method for flux estimation.
loadComp(): Create a fitted loadComp object.
loadInterp-class: A load model class specific to interpolations for flux estimation.
loadInterp(): Create a fitted loadInterp object.
loadLm-class: A load model class specific to simple linear models (lms) for flux estimation.
loadLm(): Create a fitted loadLm object.
loadModel-class: A generic load model class.
loadModel(): Create a fitted loadModel object.
loadModelInterface: Functions implemented by any loadflex-compatible load model.
loadReg2-class: A load model class specific to loadReg objects produced by the USGS rloadest package.
loadReg2(): Create a fitted loadReg2 object.
loadflex-deprecated-data: Renamed or deprecated datasets for the loadflex package
exampleMetadata(): Deprecated functions in the loadflex package
loadflex: Models and Tools for Watershed Flux Estimates
logToLin() linToLog() mixedToLog(): Translate means and standard errors/deviations of lognormal distributions between log and linear space.
match.arg.loadflex(): Require an argument to match the loadflex conventions for that argument name
metadata-class: Store metadata relevant to a load model.
getCol() getUnits() getInfo(): Access information about a load model.
metadata() updateMetadata(): Create or modify the metadata for a load model.
observeSolute(): observeSolute - instantaneous loads or concentrations
plotEGRET(): Create an EGRET-style plot
predictSolute(): Make flux or concentration predictions from a load model.
predictSolute(<loadComp>): Make flux or concentration predictions from a loadComp model.
predictSolute(<loadInterp>): Make flux or concentration predictions from a loadInterp model.
predictSolute(<loadLm>): Make flux or concentration predictions from a loadLm model.
predictSolute(<loadModel>): Make flux or concentration predictions from a loadModel model.
predictSolute(<loadReg2>): Make flux or concentration predictions from a loadReg2 model.
resampleCoefficients.lm(): Resample the coefficients of a linear model (lm)
resampleCoefficients.loadReg(): Resample the coefficients from a loadReg model.
residDurbinWatson(): Test for autocorrelation of residuals
show(<loadModel>): Display a loadModel object
show(<metadata>): Display a metadata object
simulateSolute(): Simulate solute concentrations based on the model and model uncertainty.
simulateSolute(<loadLm>): Produce a set of predictions that reflect the coefficient uncertainty and natural variation.
simulateSolute(<loadModel>): Produce a set of predictions that reflect the coefficient uncertainty and natural variation.
simulateSolute(<loadReg2>): Produce a set of predictions that reflect the coefficient uncertainty and possibly also natural variation.
summarizeInputs(): Summarize the site and input data
summarizeModel(): Extract model summary statistics
summarizeModel(<loadComp>): Extract model summary statistics from a loadComp model
summarizeModel(<loadInterp>): Extract model summary statistics from a loadInterp model
summarizeModel(<loadLm>): Extract model summary statistics from a loadLm model
summarizeModel(<loadModel>): Extract model summary statistics from a loadModel model
summarizeModel(<loadReg>): Extract model summary statistics from an rloadest::loadReg() model
summarizeModel(<loadReg2>): Extract model summary statistics from a loadReg2 model
translateFreeformToUnitted(): Convert units from a greater variety of forms, including rloadest form, to unitted form
unitType(): Return the unit.type of a unit string
units_loadflex valid.metadata.units freeform.unit.translations unit.conversions: Units-related datasets for the loadflex package
validDim(): Determine whether a 1D dimension string is known and of the expected dimension type
validLoadModelInterface(): Test whether a class implements the loadModelInterface
validMetadataUnits(): Check whether these units are acceptable (without translation) for inclusion in metadata