get_insecurity_index()

Computes insecurity index (type-2 precarity formulation).

Function Usage

from sequenzo.sequence_characteristics_indicators import get_insecurity_index
result = get_insecurity_index(seqdata, method="RANK", pow=1.0, bound=False)

Entry Parameters

• seqdata: SequenceData object.
• method: correction method (default RANK).
• pow: spell integration exponent.
• spow: exponent for first-spell integration (defaults to pow).
• bound: whether to clamp by sequence-specific min/max state cost.
• optional: correction, state_order, state_equiv, stprec, with_missing.

Returns

DataFrame with Insec values per sequence.

TraMineR Mapping

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

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.