Constructor Detail

Method Detail

• trace_mean

   final static Double trace_mean(DoubleArray S)

  Computes the mean of a trace.

  Parameters:

  S - Input trace

  Returns:

  Mean value

• trace_var

   final static Double trace_var(DoubleArray S)

  Computes the variance of a trace.

  Parameters:

  S - Input trace

  Returns:

  Variance

• trace_scv

   final static Double trace_scv(DoubleArray S)

  Computes the squared coefficient of variation (SCV) of a trace.

  Parameters:

  S - Input trace

  Returns:

  Squared coefficient of variation (variance / mean^2)

• autocov

   final static DoubleArray autocov(DoubleArray X)

  Computes the autocovariance of a trace using FFT.

  Parameters:

  X - Input trace (column vector conceptually)

  Returns:

  Autocovariance vector

• trace_acf

   final static DoubleArray trace_acf(DoubleArray S, IntArray lags)

  Computes the autocorrelation function (ACF) for a trace at specified lags.

  Parameters:

  S - Input trace

  lags - Lags at which to compute ACF (1-based in MATLAB, converted to 0-based internally)

  Returns:

  Autocorrelation values at specified lags

• trace_acf

   final static Double trace_acf(DoubleArray S)

  Computes the autocorrelation function at lag 1.

  Parameters:

  S - Input trace

  Returns:

  Lag-1 autocorrelation

• trace_skew

   final static Double trace_skew(DoubleArray S)

  Computes the bias-corrected skewness of a trace.

  Parameters:

  S - Input trace

  Returns:

  Skewness value

• trace_joint

   final static Double trace_joint(DoubleArray S, IntArray lags, IntArray orders)

  Computes the joint moment EX^{k_1}_{i} X^{k_2}_{i+lag_1} ... for a trace.

  Parameters:

  S - Input trace

  lags - Array of lag values (cumulative)

  orders - Array of moment orders for each position

  Returns:

  Joint moment value

• trace_bicov

   final static Pair<DoubleArray, Array<IntArray>> trace_bicov(DoubleArray S, IntArray grid)

  Computes the bicovariance of a trace for a grid of lags.

  Parameters:

  S - Input trace

  grid - Lag values for bicovariance grid

  Returns:

  Pair of (bicovariance values, lag pairs)

• trace_idi

   final static DoubleArray trace_idi(DoubleArray S, IntArray kset)

  Computes the index of dispersion for intervals (IDI) of a trace.

  Parameters:

  S - Input trace (inter-arrival times)

  kset - Array of k values at which to compute IDI

  Returns:

  Array of IDI values

• trace_idi

   final static Double trace_idi(DoubleArray S)

  Computes the index of dispersion for intervals with default k values.

  Parameters:

  S - Input trace

  Returns:

  IDI value at k = min(1000, trace_length/30)

• trace_idc

   final static Double trace_idc(DoubleArray S)

  Computes the index of dispersion for counts (IDC) of a trace. Asymptotically, IDI and IDC are equal.

  Parameters:

  S - Input trace

  Returns:

  IDC value

• trace_gamma

   final static Double trace_gamma(DoubleArray T, Integer limit)

  Estimates the autocorrelation decay rate of a trace.

  Parameters:

  T - Input trace

  limit - Maximum lag considered (default: 1000)

  Returns:

  Autocorrelation decay rate gamma

• trace_shuffle

   final static DoubleArray trace_shuffle(DoubleArray S)

  Shuffles a trace randomly.

  Parameters:

  S - Input trace

  Returns:

  Shuffled trace

• trace_iat2counts

   final static IntArray trace_iat2counts(DoubleArray S, Double scale)

  Computes the counting process from inter-arrival times. Returns the number of arrivals within 'scale' time units from each arrival.

  Parameters:

  S - Inter-arrival times

  scale - Time window size

  Returns:

  Counts array

• trace_iat2bins

   final static Pair<IntArray, IntArray> trace_iat2bins(DoubleArray S, Double scale)

  Computes binned counts from inter-arrival times.

  Parameters:

  S - Inter-arrival times

  scale - Bin width

  Returns:

  Pair of (counts per bin, bin membership for each event)

• trace_pmf

   final static Pair<DoubleArray, DoubleArray> trace_pmf(DoubleArray X)

  Computes the probability mass function of discrete values in a trace.

  Parameters:

  X - Input trace with discrete values

  Returns:

  Pair of (PMF values, unique values)

• trace_summary

   final static TraceSummary trace_summary(DoubleArray m)

  Computes comprehensive summary statistics for a trace.

  Parameters:

  m - Input trace

  Returns:

  TraceSummary containing all computed statistics

• mtrace_mean

   final static DoubleArray mtrace_mean(List<DoubleArray> traces)

  Computes the mean of multiple traces (multi-trace mean).

  Parameters:

  traces - List of traces

  Returns:

  Array of means for each trace