 Name  Description 

 ApplyHodrickPrescottFilter 
Applies HodrickPrescott smoothing to the vector.

 BoxCoxTransform 
Returns the BoxCox transform of the vector for the specified parameter.

 Change 
Returns a vector whose observations are the difference
between each observation and a previous observation.

 ExponentialMovingAverage(VectorDouble, Double) 
Returns a vector whose observations are the exponential
moving average of the observations of the vector.

 ExponentialMovingAverage(VectorDouble, Int32) 
Returns a vector whose observations are the exponential
moving average of the observations of the vector.

 ExponentialMovingAverage(VectorDouble, Int32, Int32) 
Returns a vector whose observations are the exponential
moving average of the observations of the vector.

 ExtrapolatedChange 
Returns a vector whose observations are the extrapolated
change of the observations over the specified lag.

 ExtrapolatedGrowthRate 
Returns a vector whose observations are the extrapolated exponential
growth rate of the observations over the specified lag.

 ExtrapolatedPercentChange 
Returns a vector whose observations are the extrapolated
percentage change of the observations over the specified lag.

 GrowthRate 
Returns a vector whose observations are the exponential
growth rate of the observations over the specified lag.

 LagT(VectorT) 
Returns a vector whose observations are moved ahead by
one observation.

 LagT(VectorT, Int32) 
Returns a vector whose observations are moved ahead by
the specified number of observations.

 LagT(VectorT, Int32, T) 
Returns a vector whose observations are moved ahead by
the specified number of observations.

 MovingAverage(VectorDouble, Int32) 
Returns a vector whose observations are the simple
moving average of the observations of the vector.

 MovingAverage(VectorDouble, Int32, Boolean) 
Returns a vector whose observations are the simple
moving average of the observations of the vector.

 MovingAverageAbsoluteDeviation 
Returns a vector whose observations are the average absolute deviation
of a range of observations from observations of another vector.

 MovingMaximum 
Returns a vector whose observations are the maximum
of a range of observations of the vector.

 MovingMinimum 
Returns a vector whose observations are the minimum
of a range of observations of the vector.

 MovingStandardDeviation 
Returns a vector whose observations are the standard deviation
of a range of observations of the vector.

 MovingSum 
Returns a vector whose observations are the sum
of a range of observations of the vector.

 PercentChange 
Returns a vector whose observations are the percent change
of the observations over the specified lag.

 PeriodToDateDifferences(VectorDouble, Int32, BoundaryIntervalBehavior, BoundaryIntervalBehavior) 
Returns a vector whose observations are the difference between successive
observations over intervals of observations.

 PeriodToDateDifferences(VectorDouble, VectorDateTime, VectorDateTime, BoundaryIntervalBehavior, BoundaryIntervalBehavior) 
Returns a vector whose observations are the difference between successive
observations over intervals of observations.

 PeriodToDateValues(VectorDouble, Int32, BoundaryIntervalBehavior, BoundaryIntervalBehavior) 
Returns a vector whose observations are the cumulative sum
over intervals of observations.

 PeriodToDateValues(VectorDouble, VectorDateTime, VectorDateTime, BoundaryIntervalBehavior, BoundaryIntervalBehavior) 
Returns a vector whose observations are the cumulative sum
over intervals of observations.

 PositiveToNegativeIndex 
Returns a vector that represents an index comparing
positive to negative values in the specified period..

 PositiveToNegativeRatio 
Returns a vector that represents the ratio of positive to
negative values in the specified period..

 QuantileT 
Gets the specified quantile.

 QuantilesT 
Gets the specified quantile.

 ReferenceIndex(VectorDouble, Int32, Double) 
Returns a vector that represents an index value relative to
the specified base value.

 ReferenceIndex(VectorDouble, Int32, Int32, Double) 
Returns a vector that represents an index value relative to
the specified range of base value.

 UseBackwardDifferenceEncoding 
Specifies that backward difference encoding should be used when creating indicator variables.

 UseDeviationEncoding 
Specifies that deviance encoding should be used when creating indicator variables.

 UseDummyEncoding 
Specifies that dummy encoding (also called treatment encoding) should be used when creating indicator variables.

 UseForwardDifferenceEncoding 
Specifies that forward difference encoding should be used when creating indicator variables.

 UseHelmertEncoding 
Specifies that Helmert encoding should be used when creating indicator variables.

 UseInverseHelmertEncoding 
Specifies that inverse Helmert encoding should be used when creating indicator variables.

 UsePolynomialEncoding 
Specifies that orthogonal polynomial encoding should be used when creating indicator variables.

 UseSimpleEncoding 
Specifies that simple encoding should be used when creating indicator variables.

 WeightedMovingAverage(VectorDouble, VectorDouble) 
Returns a vector whose observations are the weighted
moving average of the observations of the vector.

 WeightedMovingAverage(VectorDouble, Double) 
Returns a vector whose observations are the weighted
moving average of the observations of the vector.

 WeightedMovingAverage(VectorDouble, VectorDouble, Int32) 
Returns a vector whose observations are the weighted
moving average of the observations of the vector.

 WeightedMovingAverage(VectorDouble, Double, Int32) 
Returns a vector whose observations are the weighted
moving average of the observations of the vector.

 WeightedMovingAverage(VectorDouble, Int32, VectorDouble) 
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
