get_integration_index()

Computes integration scores with position weights (later positions can get higher weight).

Function

from sequenzo import get_integration_index
result = get_integration_index(seqdata, state=None, pow=1.0, with_missing=False)

Parameters

• seqdata: SequenceData object.
• state: specific state index, or None for all states.
• pow: exponent for position weights.
• with_missing: include missing positions in denominator.

Returns

DataFrame with integration values per sequence.

TraMineR Mapping

• Equivalent TraMineR function: seqintegr.

Author

Code and documentation: Yuqi Liang

References

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