sciope.utilities.summarystats package¶

Submodules¶

The ‘Burstiness’ summary statistic

class sciope.utilities.summarystats.burstiness.Burstiness(mean_trajectories=False, improvement=False, use_logger=False)[source]¶

Burstiness Summary statictics Burstiness = (sigma-mu)/(sigma+mu)

Ref: Burstiness and memory in complex systems, Europhys. Let., 81, pp. 48002, 2008.

compute(data)[source]¶

Calculate the value(s) of the summary statistic(s)

data[type]: simulated or data set in the form N x S X T - num data points x num species x num time steps

Base Class for Summary Statistics

class sciope.utilities.summarystats.summary_base.SummaryBase(name, mean_trajectories=False, use_logger=False)[source]¶

Base class for summary statistics.

compute(data)[source]¶: Calculate the summary statistic value for given ‘data’ :param data: a fixed data set or simulation result :return: the computed summary statistic value