get_complexity_index()

Computes complexity from transition intensity and within-sequence entropy.

Function Usage

from sequenzo import get_complexity_index
result = get_complexity_index(seqdata, silent=True)

Entry Parameters

• seqdata: SequenceData object.
• silent: suppress progress messages.

Returns

DataFrame with complexity index values per sequence.

TraMineR Mapping

• Equivalent TraMineR function: TraMineR::seqici().

Authors

Code and documentation: Yuqi Liang

See Also

• Sequence Characteristics Indicators Overview maps all indicator families.
• Sequence Summary Statistics vs Sequence Characteristics Indicators explains when to use indicators versus statistics or distances.

References

Ritschard, G. (2023), "Measuring the nature of individual sequences", Sociological Methods and Research, 52(4), 2016-2049. doi:10.1177/00491241211036156.