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
.SpecDistrWeight
R
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
.QuantileSD
Y
from a FreqRep
object.LagOperator
.QuantilePG
.SpecDistrWeight
.KernelWeight
class.values[k]
from its superclass LagOperator
.IntegrQuantileSD
class.ClippedCov
class.ClippedFT
class.