get_precarity_index()

Computes precarity from start-state cost, complexity, and degradation correction.

Function Usage

from sequenzo.sequence_characteristics_indicators import get_precarity_index
result = get_precarity_index(seqdata, otto=0.2, a=1.0, b=1.2, method="TRATEDSS")

Entry Parameters

• seqdata: SequenceData object.
• otto, a, b: combination and power parameters.
• method: method used when correction is computed internally.
• optional: correction, state_order, state_equiv, stprec, with_missing, pow.

Returns

DataFrame with Prec values per sequence.

TraMineR Mapping

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

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.