get_insecurity_index()

Computes insecurity index (type-2 precarity formulation).

Function

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

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: seqinsecurity.

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.