get_integration_index()

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

Function Usage

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

Entry 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: TraMineR::seqintegr().

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.