Package jline.api.mam

Class Map_acfcKt

  • All Implemented Interfaces:

    
    public final class Map_acfcKt
    
                        
    • Nested Class Summary

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      Modifier and Type Class Description
    • Field Summary

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    • Constructor Summary

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    • Enum Constant Summary

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      Enum Constant Description
    • Method Summary

      Modifier and Type Method Description
      final static DoubleArray map_acfc(Matrix D0, Matrix D1, IntArray lags, Double u) Computes the autocorrelation function coefficients (ACFC) for a MAP counting process.
      final static DoubleArray map_acfc(MatrixCell MAP, IntArray lags, Double u) Computes the autocorrelation function coefficients (ACFC) for a MAP counting process using a MatrixCell.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

    • Method Detail

      • map_acfc

         final static DoubleArray map_acfc(Matrix D0, Matrix D1, IntArray lags, Double u)

        Computes the autocorrelation function coefficients (ACFC) for a MAP counting process.

        This method calculates the ACFC for a given MAP represented by matrices D0 and D1, at specified lags and over a specified timescale (u). The ACFC provides insight into the temporal correlation of event counts over time.

        Parameters:
        D0 - the hidden transition matrix of the MAP
        D1 - the visible transition matrix of the MAP
        lags - an array of integers representing the lags at which to compute the ACFC
        u - the length of the timeslot (timescale)
        Returns:

        an array of doubles containing the ACFC values for the specified lags

      • map_acfc

         final static DoubleArray map_acfc(MatrixCell MAP, IntArray lags, Double u)

        Computes the autocorrelation function coefficients (ACFC) for a MAP counting process using a MatrixCell.

        This method is a convenience overload that extracts the D0 and D1 matrices from the provided MatrixCell and calculates the ACFC for the specified lags and timescale.

        Parameters:
        MAP - the MatrixCell representing the MAP, containing the D0 and D1 matrices
        lags - an array of integers representing the lags at which to compute the ACFC
        u - the length of the timeslot (timescale)
        Returns:

        an array of doubles containing the ACFC values for the specified lags