Package jline.api.mam
Class Map_acfcKt
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- All Implemented Interfaces:
public final class Map_acfcKt
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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. -
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Method Detail
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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 MAPD1
- the visible transition matrix of the MAPlags
- an array of integers representing the lags at which to compute the ACFCu
- the length of the timeslot (timescale)- Returns:
an array of doubles containing the ACFC values for the specified lags
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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 matriceslags
- an array of integers representing the lags at which to compute the ACFCu
- the length of the timeslot (timescale)- Returns:
an array of doubles containing the ACFC values for the specified lags
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