ApplyHodrickPrescottFilter |
Applies Hodrick-Prescott smoothing to the vector.
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BoxCoxTransform |
Returns the Box-Cox transform of the vector for the specified parameter.
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Change |
Returns a vector whose observations are the difference
between each observation and a previous observation.
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ExponentialMovingAverage(Vector<Double>, Double) |
Returns a vector whose observations are the exponential
moving average of the observations of the vector.
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ExponentialMovingAverage(Vector<Double>, Int32) |
Returns a vector whose observations are the exponential
moving average of the observations of the vector.
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ExponentialMovingAverage(Vector<Double>, Int32, Int32) |
Returns a vector whose observations are the exponential
moving average of the observations of the vector.
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ExtrapolatedChange |
Returns a vector whose observations are the extrapolated
change of the observations over the specified lag.
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ExtrapolatedGrowthRate |
Returns a vector whose observations are the extrapolated exponential
growth rate of the observations over the specified lag.
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ExtrapolatedPercentChange |
Returns a vector whose observations are the extrapolated
percentage change of the observations over the specified lag.
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GrowthRate |
Returns a vector whose observations are the exponential
growth rate of the observations over the specified lag.
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Lag<T>(Vector<T>) |
Returns a vector whose observations are moved ahead by
one observation.
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Lag<T>(Vector<T>, Int32) |
Returns a vector whose observations are moved ahead by
the specified number of observations.
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Lag<T>(Vector<T>, Int32, T) |
Returns a vector whose observations are moved ahead by
the specified number of observations.
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MovingAverage(Vector<Double>, Int32) |
Returns a vector whose observations are the simple
moving average of the observations of the vector.
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MovingAverage(Vector<Double>, Int32, Boolean) |
Returns a vector whose observations are the simple
moving average of the observations of the vector.
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MovingAverageAbsoluteDeviation |
Returns a vector whose observations are the average absolute deviation
of a range of observations from observations of another vector.
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MovingMaximum |
Returns a vector whose observations are the maximum
of a range of observations of the vector.
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MovingMinimum |
Returns a vector whose observations are the minimum
of a range of observations of the vector.
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MovingStandardDeviation |
Returns a vector whose observations are the standard deviation
of a range of observations of the vector.
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MovingSum |
Returns a vector whose observations are the sum
of a range of observations of the vector.
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PercentChange |
Returns a vector whose observations are the percent change
of the observations over the specified lag.
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PeriodToDateDifferences(Vector<Double>, Int32[], BoundaryIntervalBehavior, BoundaryIntervalBehavior) |
Returns a vector whose observations are the difference between successive
observations over intervals of observations.
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PeriodToDateDifferences(Vector<Double>, Vector<DateTime>, Vector<DateTime>, BoundaryIntervalBehavior, BoundaryIntervalBehavior) |
Returns a vector whose observations are the difference between successive
observations over intervals of observations.
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PeriodToDateValues(Vector<Double>, Int32[], BoundaryIntervalBehavior, BoundaryIntervalBehavior) |
Returns a vector whose observations are the cumulative sum
over intervals of observations.
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PeriodToDateValues(Vector<Double>, Vector<DateTime>, Vector<DateTime>, BoundaryIntervalBehavior, BoundaryIntervalBehavior) |
Returns a vector whose observations are the cumulative sum
over intervals of observations.
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PositiveToNegativeIndex |
Returns a vector that represents an index comparing
positive to negative values in the specified period..
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PositiveToNegativeRatio |
Returns a vector that represents the ratio of positive to
negative values in the specified period..
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Quantile<T> |
Gets the specified quantile.
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Quantiles<T> |
Gets the specified quantile.
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ReferenceIndex(Vector<Double>, Int32, Double) |
Returns a vector that represents an index value relative to
the specified base value.
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ReferenceIndex(Vector<Double>, Int32, Int32, Double) |
Returns a vector that represents an index value relative to
the specified range of base value.
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UseBackwardDifferenceEncoding |
Specifies that backward difference encoding should be used when creating indicator variables.
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UseDeviationEncoding |
Specifies that deviance encoding should be used when creating indicator variables.
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UseDummyEncoding |
Specifies that dummy encoding (also called treatment encoding) should be used when creating indicator variables.
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UseForwardDifferenceEncoding |
Specifies that forward difference encoding should be used when creating indicator variables.
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UseHelmertEncoding |
Specifies that Helmert encoding should be used when creating indicator variables.
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UseInverseHelmertEncoding |
Specifies that inverse Helmert encoding should be used when creating indicator variables.
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UsePolynomialEncoding |
Specifies that orthogonal polynomial encoding should be used when creating indicator variables.
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UseSimpleEncoding |
Specifies that simple encoding should be used when creating indicator variables.
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WeightedMovingAverage(Vector<Double>, Vector<Double>) |
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
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WeightedMovingAverage(Vector<Double>, Double[]) |
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
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WeightedMovingAverage(Vector<Double>, Vector<Double>, Int32) |
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
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WeightedMovingAverage(Vector<Double>, Double[], Int32) |
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
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WeightedMovingAverage(Vector<Double>, Int32, Vector<Double>) |
Returns a vector whose observations are the weighted
moving average of the observations of the vector.
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