install.packages('quantspec')LagKernelWeight class.SmoothedPG class.MovingBlocks class.QRegEstimator class.LagEstimator class.B from a LagOperator object.QuantilePG class.B from a FreqRep object.QuantileSD class.getSdNaive-SmoothedPG.getCoherency-SmoothedPG.SpecDistrWeight class.BootPos from a
FreqRep.levels from a QSpecQuantity.BootPos from a
LagOperator.levels from a FreqRep.frequencies from a QSpecQuantity.isRankBased from a FreqRep objectdescr from a Weight.levels from a LagOperator.bw (bandwidth / scaling parameter used for smoothing)
from a LagKernelWeight.FreqRep from a
QuantilePG.meanPG from a quantile spectral density kernelfrequencies from a FreqRep.bw (bandwidth / scaling parameter used for smoothing)
from a KernelWeight.stdError from a quantile spectral density kernelisRankBased from a LagOperator objectts from a quantile spectral density kernelN from a quantile spectral density kernelLagOperator from a LagEstimator.values from a LagOperator.maxLag from a LagOperator object.type from a quantile spectral density kernelgetParallel from a QRegEstimator objectQuantilePG from a QuantileSD.W (kernel used for smoothing) from a LagKernelWeight.W and
a bandwidth b.Y is of an appropriate type for a time series and
returns the length of the time series.QuantilePG from a SmoothedPG.KernelWeight.W and
a bandwidth bw.Weight from a LagEstimator.FreqRep.LagKernelWeight.LagEstimator.IntegrQuantileSD.Y is of an appropriate type and converts to a numeric.getQuantileSD from an
IntegrQuantileSD.SpecDistrWeightR from a quantile spectral density kernelW (kernel used for smoothing) from a KernelWeight.Weight from a SmoothedPG.Wnj from a QSpecQuantity.x contains integer numbers.QuantileSD.SmoothedPG.QuantileSDY from a FreqRep object.LagOperator.QuantilePG.SpecDistrWeight.KernelWeight class.values[k] from its superclass LagOperator.IntegrQuantileSD class.ClippedCov class.ClippedFT class.